WO2023188680A1 - Determination system and method for determinint authenticity of determination code - Google Patents

Abstract

A determination system includes: a first feature quantity acquisition unit that, on the basis of a first image corresponding to a first identifier of a determination code including the first identifier and a second identifier, acquires a first feature quantity of the second identifier included in registration information of the first identifier; a second feature quantity acquisition unit that, on the basis of a second image corresponding to the second identifier, acquires a second feature quantity of the imaged second identifier; and a determination unit that determines a correspondence between the first feature quantity and the second feature quantity.

Description

Verification system and method for determining authenticity of verification code

One embodiment of the present invention relates to a determination system that determines the authenticity of a determination code. Further, one embodiment of the present invention relates to a method for determining the authenticity of a determination code.

With the globalization of products, the number of counterfeit products is increasing, and elaborately imitated counterfeit products are also being distributed. Elaborately imitated counterfeits are often difficult to distinguish from genuine products by visual inspection alone. Therefore, it is determined whether or not the product to which the judgment label is attached is a genuine product by attaching a judgment label to the product and determining the authenticity of the judgment label.

A QR code (registered trademark) is sometimes used as such a determination label. Since a QR code can contain various information, it can not only determine authenticity but also provide information about products. However, since the cells of the QR code are formed by a simple array of dots, the QR code can be easily copied using a copy machine or the like. Therefore, the authenticity determination using a determination label using a QR code has not been sufficient from the viewpoint of preventing counterfeit products.

Additionally, a hologram may be used as the determination label. Since holograms are difficult to copy using a copy machine or the like, they are widely used as a countermeasure against counterfeit products such as credit cards, banknotes, and securities. Therefore, a determination label using a hologram has higher accuracy in determining authenticity than a determination label using a QR code. Further, as a judgment label used for determining authenticity, not only a hologram but also a judgment label on which characters or a QR code are printed is known (see, for example, Patent Document 1).

Japanese Patent Application Publication No. 2012-173300

With conventional identification labels using holograms, the hologram is visually confirmed by the user making the authentication, so the results of the authentication often depend on the user. In Patent Document 1, by associating the identification information of the hologram with the QR code, it is possible to perform a hologram determination check using the QR code. However, in Patent Document 1 as well, since the hologram is visually confirmed by the user, a forged determination label made by forming a similar hologram and a copied QR code may be determined to be genuine. Ta.

In view of the above-mentioned problems, an embodiment of the present invention has an object to provide a determination system that determines the authenticity of a determination code that includes an identifier that provides visual information. Another object of an embodiment of the present invention is to provide a method for determining the authenticity of a determination code that includes an identifier that provides visual information.

A determination system according to an embodiment of the present invention is based on a first image corresponding to a first identifier of a determination code including a first identifier and a second identifier, and a second identifier included in registration information of the first identifier. a first feature amount acquisition unit that acquires a first feature amount; a second feature amount acquisition unit that acquires a second feature amount of a photographed second identifier based on a second image corresponding to the second identifier; A determination unit that determines the correspondence between the first feature amount and the second feature amount is included.

The determination system may further include an image processing unit that obtains a first image and a second image from one image in which the determination code is photographed.

The determination unit may generate determination result information indicating that the determination code is genuine when the degree of similarity of the second feature amount to the first feature amount is greater than or equal to a predetermined threshold.

The second feature amount may include the feature amount of each of the plurality of regions obtained from the second image.

A method for determining the authenticity of a determination code according to an embodiment of the present invention is a method for determining the authenticity of a determination code including a first identifier and a second identifier. The first feature amount of the second identifier included in the registered information is acquired, the second feature amount of the photographed second identifier is acquired based on the second image corresponding to the second identifier, and the first feature amount is acquired. and the second feature amount.

The method for determining the authenticity of the determination code may further include acquiring the first image and the second image from one image in which the determination code is photographed.

In determining the correspondence relationship, when the degree of similarity of the second feature amount to the first feature amount is greater than or equal to a predetermined threshold, determination result information indicating that the determination code is genuine may be generated.

As the second feature amount, a plurality of regions may be obtained from the second image, and the feature amount of each of the plurality of regions may be obtained.

Each of the first feature amount and the second feature amount may include a pixel value represented by RGB values. Moreover, each of the first feature amount and the second feature amount may include a pixel value represented by a grayscale value. Further, each of the first feature amount and the second feature amount may include a pixel value expressed in black and white binary values. Further, each of the first feature amount and the second feature amount may include a histogram of pixel values represented by RGB values.

The first identifier may be a two-dimensional code.

The second identifier may be a hologram.

A determination system according to an embodiment of the present invention acquires a first feature amount of a second identifier included in the registration information of the first identifier from a first image of the first identifier of the determination code, and A second feature of the second identifier photographed from a second image of the identifier is obtained, and a correspondence relationship between the first feature and the second feature is determined. That is, the determination system can determine the authenticity of the determination code without depending on the user's visual inspection. Therefore, user dependence (dispersion due to visual observation by the user) in the authenticity determination is suppressed, and the determination accuracy in determining the authenticity of the determination code is improved. That is, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products can be prevented.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram illustrating an outline of a determination system according to an embodiment (first embodiment) of the present invention, and a schematic diagram showing a determination code to be authenticated by the determination system. 1 is a block diagram showing the configuration of a determination system according to an embodiment (first embodiment) of the present invention. FIG. 2 is a sequence diagram showing a process for determining the authenticity of a determination code, which is executed by the determination system according to an embodiment (first embodiment) of the present invention. They are a flowchart diagram and a schematic diagram illustrating the process of step S140 of the authenticity determination process of the determination system according to one embodiment (first embodiment) of the present invention. It is a flowchart figure explaining the process of step S150 of the authenticity determination process of the determination system based on one Embodiment (1st Embodiment) of this invention. 1 is a block diagram showing the configuration of a determination system according to an embodiment (first embodiment) of the present invention. FIG. 2 is a sequence diagram showing a process for determining the authenticity of a determination code, which is executed by the determination system according to an embodiment (first embodiment) of the present invention. 1 is a block diagram showing the configuration of a determination system according to an embodiment (first embodiment) of the present invention. FIG. 2 is a sequence diagram showing a process for determining the authenticity of a determination code, which is executed by the determination system according to an embodiment (first embodiment) of the present invention. They are a flowchart diagram and a schematic diagram illustrating the process of step S140C of determining authenticity of the determination system according to an embodiment (second embodiment) of the present invention. It is a schematic diagram of the judgment code whose authenticity is judged by the judgment system concerning one embodiment (3rd embodiment) of the present invention. It is a schematic diagram explaining the registration information contained in the 1st identifier of the judgment code whose authenticity is judged by the judgment system concerning one embodiment (4th embodiment) of the present invention. It is a block diagram showing the composition of the judgment system concerning one embodiment (4th embodiment) of the present invention. It is a sequence diagram which shows the authenticity determination process performed by the determination system based on one Embodiment (4th Embodiment) of this invention. It is a sequence diagram which shows the authenticity determination process of the determination code performed by the determination system based on one Embodiment (5th Embodiment) of this invention. It is a flowchart figure explaining the process of step S150H of the authenticity determination process of the determination system based on one Embodiment (6th Embodiment) of this invention. They are a flowchart diagram and a schematic diagram illustrating the process of step S40I of the authenticity determination process of the determination system according to one embodiment (seventh embodiment) of the present invention.

Each embodiment of the present invention will be described below with reference to the drawings. However, the present invention can be implemented in various forms without departing from the scope thereof, and should not be construed as being limited to the contents described in the embodiments exemplified below.

In order to make the explanation more clear, the drawings may schematically represent the width, thickness, shape, etc. of each part compared to the actual aspect, but these are merely examples and do not limit the interpretation of the present invention. It's not something you do. In addition, in this specification and each figure, elements having the same functions as those described with respect to the previously shown figures may be denoted by the same reference numerals, and redundant explanation may be omitted.

In this specification and the drawings, when referring to a plurality of identical or similar configurations as a whole, the same reference numerals or the same reference numerals may be indicated with capital letters attached. When a plurality of parts of one configuration are to be expressed separately, the same code may be used, and a hyphen and a natural number may also be used.

In this specification, characters such as "first," "second," or "third" appended to each configuration are convenient marks used to distinguish each configuration, and special explanations are not provided. Unless there is, it has no further meaning.

<First embodiment>
A determination system 10 according to an embodiment of the present invention will be described with reference to FIGS. 1 to 5.

[1. Overview of determination system 10]
FIG. 1(A) is a block diagram illustrating an overview of a determination system 10 according to an embodiment of the present invention, and FIG. 1(B) is a block diagram illustrating an overview of a determination system 10 according to an embodiment of the present invention. 5 is a schematic diagram showing a determination code 500. FIG.

As shown in FIG. 1(A), the determination system 10 includes an information terminal 100 and a server 200. Information terminal 100 is communicably connected to server 200 via network NW. The network NW may be wired or wireless. For example, the network NW is a LAN (Local Area Network) or the Internet, but is not limited to these.

As shown in FIG. 1(B), the determination code 500 whose authenticity is determined by the determination system 10 includes a first identifier 510 and a second identifier 520. The first identifier 510 is an identifier that includes predetermined information, and is, for example, a two-dimensional code such as a QR code. The second identifier 520 is an identifier that provides visual information, such as a hologram. In the determination code 500, a first identifier 510 and a second identifier 520 are integrally formed. The determination code 500 may be a label or electronic data. When the judgment code 500 is a label, it is attached to an article and used, and when the judgment code 500 is electronic data, it is displayed on a screen and used.

The determination system 10 determines the authenticity of the determination code 500 by photographing the determination code 500. The determination system 10 can determine the authenticity of multiple types of determination codes 500. The first identifier 510 and second identifier 520 included in one determination code 500 have a one-to-one correspondence, and different types of determination codes 500 have not only the first identifier 510 but also the second identifier 520. It's different. Therefore, by determining the correspondence between the first identifier 510 and the second identifier 520 of the determination code 500, it is possible to determine whether the determination code 500 is genuine or fake.

The information terminal 100 is a terminal that can photograph the determination code 500 or display the determination result. The information terminal 100 is, for example, a mobile phone, a smartphone, a tablet, or a personal computer, but is not limited to these. Furthermore, the information terminal 100 can generate a determination code image corresponding to the photographed determination code 500.

The server 200 is software or a computer that can receive the determination code image from the information terminal 100 and determine the authenticity of the determination code 500. When the server 200 is a computer, the server 200 may be one computer or multiple computers.

The server 200 executes an authenticity determination process based on the determination code image, and generates determination result information. Note that the determination system 10 can also perform the authenticity determination process and generate determination result information using a cloud computing method or an ASP (Application Service Provider) method.

[2. Configuration of determination system 10]
FIG. 2 is a block diagram showing the configuration of the determination system 10 according to an embodiment of the present invention.

As shown in FIG. 2, the information terminal 100 of the determination system 10 includes an imaging section 110, a display section 120, and a communication section 130. Further, the server 200 of the determination system 10 includes a control section 210 and a communication section 220.

The imaging unit 110 is an imaging device that can photograph the determination code 500. The determination code 500 may be photographed so as to include the first identifier 510 and the second identifier, or the first identifier 510 and the second identifier 520 may be photographed separately. The imaging unit 110 can generate a determination code image corresponding to the photographed determination code 500. Note that when the first identifier 510 and the second identifier 520 are photographed separately, the imaging unit 110 generates a first image corresponding to the first identifier 510 and a second image corresponding to the second identifier 520, respectively. be able to. As the imaging unit 110, for example, a camera, a video camera, a scanner, or the like can be used.

The display unit 120 is a display interface that can display images, determination result information, etc. As the display section 120, for example, a liquid crystal display device, an OLED display device, or the like can be used.

The communication unit 130 and the communication unit 220 are communication interfaces that can transmit or receive data or information by wire or wirelessly. As the communication unit 130 and the communication unit 220, for example, a LAN module or a Wi-Fi (registered trademark) module can be used.

The control unit 210 is a computer that can perform arithmetic processing using data or information. The control unit 210 is, for example, a central processing unit (CPU), a microprocessor (Micro Processing Unit: MPU), an image processing unit (Graphics Processing Unit: GPU), or a random processor. Access memory (Random Access Memory: RAM ) etc. Specifically, the control unit 210 can cause the image processing unit 211, the first feature amount acquisition unit 212, the second feature amount acquisition unit 213, and the determination unit 214 to function by executing the program.

The image processing unit 211 can perform various image processing on images. For example, the image processing unit 211 can extract a first image corresponding to the first identifier 510 and a second image corresponding to the second identifier 520 from the determination code image corresponding to the determination code 500. The first image and the second image are extracted based on characters, markers, pattern shapes, etc. included in the first identifier 510 and the second identifier, respectively, but are not limited thereto.

The first feature amount acquisition unit 212 can obtain the first feature amount based on the first image. As described above, the first identifier 510 and the second identifier 520 of the determination code 500 have a one-to-one correspondence, and the first identifier 510 is registered as the second identifier associated with the first identifier. Contains the features of Therefore, the first feature amount obtaining unit 212 obtains the first feature amount of the second identifier 520 included in the registration information of the first identifier 510 from the first image corresponding to the first identifier 510. That is, the first feature amount is a pre-registered feature amount of the second identifier 520.

The second feature amount acquisition unit 213 can obtain the second feature amount based on the second image. For example, the second feature amount acquisition unit 213 divides the second image into a plurality of regions, and generates a feature amount for each of the plurality of divided regions. In this case, the second feature amount obtaining unit 213 obtains a plurality of feature amounts generated in a plurality of regions as a second feature amount. That is, the second feature amount includes feature amounts of a plurality of regions of the second identifier.

The determination unit 214 can determine the correspondence between the first feature amount and the second feature amount. For example, the determination unit 214 calculates the similarity of the second feature with respect to the first feature, and when the similarity is equal to or greater than a predetermined threshold, generates determination result information indicating that the determination code 500 is genuine.

[3. Authenticity determination process of determination system 10]
FIG. 3 is a sequence diagram showing the authenticity determination process of the determination code 500 executed by the determination system 10 according to an embodiment of the present invention.

The authenticity determination process executed by the determination system 10 is started by executing the authenticity determination process program on the information terminal 100.

In step S100, the imaging unit 110 generates a determination code image corresponding to the photographed determination code 500.

In step S110, the generated determination code image is transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S120, the image processing unit 211 extracts a first image corresponding to the first identifier 510 and a second image corresponding to the second identifier 520 from the determination code image. Furthermore, if the received determination code image differs from the predetermined number of gradations, the image processing unit 211 executes a process of converting the number of gradations of the determination code image. The conversion of the number of gradations of an image may be performed on the determination code image, or may be performed on the first image or the second image.

Note that when the first identifier 510 and the second identifier are photographed separately, in step S100, the imaging unit 110 captures a first image corresponding to the first identifier 510 and a second image corresponding to the second identifier 520. generate. In this case, in step S110, the generated first image and second image are transmitted from the information terminal 100 to the server 200 via the communication unit 130. In this case, since the first image and the second image have already been acquired, the extraction process of the first image and the second image is not executed in step S120, but the process of converting the number of gradations etc. for the second image is performed. Image processing may also be performed.

In step S130, the first feature amount acquisition unit 212 acquires the first feature amount of the second identifier included in the registration information of the first identifier 510 from the first image.

The process of step S140 will be explained with reference to FIG. 4. FIG. 4 is a flowchart diagram and a schematic diagram illustrating the process of step S140 of the authenticity determination process of the determination system 10 according to an embodiment of the present invention. As shown in FIG. 4(A), in the process of step S140, step S141 and step S142 are executed.

In step S141, the second feature amount acquisition unit 213 divides the second image into multiple regions. In other words, in step S141, multiple regions are extracted from the second image. For example, as shown in FIG. 4B, the second feature amount acquisition unit 213 divides the second image 620 into matrix-like regions of 4 rows and 2 columns. As a result, eight regions (first region 620-1 to eighth region 620-8) are extracted. Note that the second feature amount acquisition unit 213 only has to divide the second image according to a predetermined rule, and the number of regions extracted by division is not particularly limited.

In step S142, the second feature amount acquisition unit 213 generates feature amounts for each of the plurality of extracted regions. The feature amount of the area is an RGB value represented by each pixel value of a red pixel (R pixel), a green pixel (G pixel), and a blue pixel (B pixel) as shown in FIG. 4(C). . The feature amount of a region may be an average value of pixel values of a plurality of pixels included in the region, or may be an intermediate value.

Note that the feature amount of the region is not limited to the pixel value represented by RGB values. The feature amount of the area may be a pixel value expressed as a gray scale value, or may be a pixel value expressed as a black and white binary value. In this case, in step S120, the image processing unit 211 executes a process of converting the determination code image or the second image from RGB values to grayscale values or black and white binary values.

When the feature amounts for each of the plurality of regions are generated and the second feature amount including the feature amounts of the plurality of regions of the photographed second identifier 520 is acquired, the process of step S140 ends.

The process of step S150 will be explained with reference to FIG. 5. FIG. 5 is a flowchart illustrating the process of step S150 of the authenticity determination process of the determination system 10 according to an embodiment of the present invention. As shown in FIG. 5, in the process of step S150, steps S151 to S155 are executed.

In step S151, the determination unit 214 uses the first feature amount to calculate the degree of matching of the feature amount in each of the plurality of regions included in the second feature amount. The first feature amount acquired in step S130 includes feature amounts of a plurality of regions of the associated second identifier 520 in advance. Therefore, the degree of matching is calculated for each of the plurality of regions included in the second feature amount. For example, the matching degree C _n of the feature amounts in the n-th region can be calculated based on (Equation 1).

Here, R _1n , G _1n , and B _1n are feature amounts in the n-th region included in the first feature amount. Further, R _2n , G _2n , and B _2n are feature amounts in the n-th region included in the second feature amount. Moreover, k is a bit of the number of gradations. Note that both k and n are natural numbers.

(Formula 1) is a formula used when the feature amount of the region is a pixel value expressed by RGB values, but when the feature amount of the region is a pixel value expressed by a grayscale value, the nth The matching degree C _n of the feature amounts in the region can be calculated based on (Equation 2).

Here, P _1n and P _2n are the feature amount in the n-th region included in the first feature amount and the feature amount in the n-th region included in the second feature amount, respectively.

Furthermore, when the feature amount is a pixel value expressed in black and white binary values, the matching degree C _n of the feature amount in the n-th region can be calculated by setting k=0 in (Equation 2).

Note that (Formula 1) and (Formula 2) are examples of calculating the matching degree C _n , and the calculation of the matching degree C _n is not limited to this.

In step S152, the determination unit 214 uses the degree of matching calculated in step S151 to calculate the degree of similarity of the second feature amount to the first feature amount. For example, the similarity S of the second feature amount to the first feature amount can be calculated based on (Equation 3).

The similarity S calculated using (Equation 3) is the average value of the matching degrees _Cn . Note that (Formula 3) is an example of calculating the similarity degree S, and the calculation of the similarity degree S is not limited to this.

In step S153, the determination unit 214 determines the correspondence between the first feature amount and the second feature amount based on the similarity S. Specifically, the determination unit 214 determines whether or not the similarity S is greater than or equal to a predetermined threshold. When the similarity S is greater than or equal to the predetermined threshold (step S153: YES), step S154 is executed. On the other hand, when the similarity S is less than the predetermined threshold (step S153: NO), step S155 is executed.

In step S154, the determination unit 214 generates determination result information indicating that the determination code 500 is genuine.

In step S155, the determination unit 214 generates determination result information indicating that the determination code 500 is a forgery.

Once the determination result information is generated, the process of step S150 ends.

Returning to FIG. 3 again, steps after step S160 will be described.

In step S160, the generated determination result information is transmitted from the server 200 to the information terminal 100 via the communication unit 220.

In step S170, the display unit 120 displays the determination result on the screen based on the determination result information. For example, if the determination result information is genuine, the display unit 120 displays "determination OK" on the screen, and if the determination result information is fake, it displays "determination NG" on the screen.

As described above, the determination system 10 according to the first embodiment can determine the authenticity of the determination code 500 including the second identifier 520 that provides visual information without relying on the user's visual observation. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Further, since the determination code 500 includes the second identifier 520 that is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10 according to the first embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products can be prevented. .

The determination system 10 according to the first embodiment is not limited to the configuration described above, and can be modified in various ways. Below, several modified examples of the determination system 10 according to the first embodiment will be described. Note that, below, descriptions of configurations similar to those described above may be omitted.

<Modification 1 of the first embodiment>
A determination system 10A that is a modification of the first embodiment will be described with reference to FIGS. 6 and 7.

FIG. 6 is a block diagram showing the configuration of a determination system 10A according to an embodiment of the present invention.

As shown in FIG. 6, the determination system 10A includes an information terminal 100 and a server 200. The information terminal 100 of the determination system 10A includes an imaging section 110, a display section 120, a communication section 130, and a control section 140A. Further, the server 200 of the determination system 10A includes a control section 210 and a communication section 220.

In the determination system 10A, the control unit 140A of the information terminal 100 can cause the image processing unit 141A, the first feature acquisition unit 142A, and the second feature acquisition unit 143A to function by executing a program. The functions of the image processing section 141A, the first feature amount acquisition section 142A, and the second feature amount acquisition section 143A are the functions of the image processing section 211, the first feature amount acquisition section 212, and the second feature amount acquisition section 213, respectively. Therefore, description of the image processing section 141A, the first feature amount acquisition section 142A, and the second feature amount acquisition section 143A will be omitted here.

Note that in the determination system 10A, a program installed in the information terminal 100 may be executed, or a program stored in a recording medium (for example, a CD-ROM or DVD-ROM) may be read and executed. good.

FIG. 7 is a sequence diagram showing the authenticity determination process of the determination code 500 executed by the determination system 10A according to an embodiment of the present invention. As shown in FIG. 7, the authenticity determination process of the determination system 10A includes steps S120A to S145A instead of steps S110 to S140 in FIG.

In step S120A, the image processing unit 141A extracts a first image corresponding to the first identifier 510 and a second image corresponding to the second identifier 520 from the determination code image.

In step S130A, the first feature amount acquisition unit 142A obtains the first feature amount of the second identifier 520 included in the registration information of the first identifier 510 from the first image.

In step S140A, the second feature amount acquisition unit 143A extracts a plurality of regions from the second image and generates a feature amount for each of the plurality of extracted regions. In other words, in step S140A, second feature amounts including feature amounts of a plurality of regions of the second identifier 520 that have been photographed are acquired from the second image.

In step S145A, the acquired first feature amount and second feature amount are transmitted from the information terminal 100 to the server 200 via the communication unit 130.

As described above, in the determination system 10A according to the first modification of the first embodiment, the first feature amount and the second feature amount are acquired not in the server 200 but in the information terminal 100. Even in this case, the authenticity of the determination code 500 including the second identifier 520 that provides visual information can be determined without depending on the user's visual observation. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Further, since the determination code 500 includes the second identifier 520 that is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10A according to the modification of the first embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products is prevented. be able to.

<Modification 2 of the first embodiment>
A determination system 10B, which is a modification of the first embodiment, will be described with reference to FIGS. 8 and 9.

FIG. 8 is a block diagram showing the configuration of a determination system 10B according to an embodiment of the present invention.

As shown in FIG. 8, the determination system 10B includes an information terminal 100 and a server 200. Information terminal 100 of determination system 10B includes an imaging section 110, a display section 120, a communication section 130, and a control section 140B. Further, the server 200 of the determination system 10B includes a control section 210, a communication section 220, and a storage section 230B.

In the determination system 10B, the control unit 140B of the information terminal 100 causes the image processing unit 141B, the first feature amount acquisition unit 142B, the second feature amount acquisition unit 143B, and the determination unit 144B to function by executing a program. I can do it. The functions of the image processing section 141B, the first feature amount acquisition section 142B, the second feature amount acquisition section 143B, and the determination section 144B are the image processing section 211, the first feature amount acquisition section 212, and the second feature amount acquisition section, respectively. 213 and the determination unit 214, the description of the image processing unit 141B, first feature amount acquisition unit 142B, second feature amount acquisition unit 143B, and determination unit 144B will be omitted here.

In the determination system 10B, the control unit 210 of the server 200 can cause the determination result information processing unit 215B to function by executing a program. The determination result information processing unit 215B can register determination result information in the determination result information database 231B, or perform various database processes using the determination result information database 231B. For example, the determination result information processing unit 215B can search the determination result information database 231B and identify the types of determination codes 500 that are often determined to be forgeries.

The storage unit 230B is a storage that can store data or information. Specifically, the storage unit 230B can store a determination result information database 231B. As the storage unit 230B, for example, a hard disk drive (HDD), a solid state drive (SSD), a read only memory (ROM), a random access memory (RAM), a flash memory, etc. can be used.

FIG. 9 is a sequence diagram showing the authenticity determination process of the determination code 500 executed by the determination system 10B according to an embodiment of the present invention. As shown in FIG. 9, the authenticity determination process of the determination system 10B includes steps S120B to S150B instead of steps S110 to S140 in FIG. Moreover, the authenticity determination process of the determination system 10B further includes step S180B and step S190B.

In step S120B, the image processing unit 141B extracts a first image corresponding to the first identifier 510 and a second image corresponding to the second identifier 520 from the determination code image.

In step S130B, the first feature amount acquisition unit 142B obtains the first feature amount of the second identifier 520 included in the registration information of the first identifier 510 from the first image.

In step S140B, the second feature amount acquisition unit 143B extracts a plurality of regions from the second image and generates a feature amount for each of the plurality of extracted regions. In other words, in step S140B, second feature amounts including feature amounts of a plurality of regions of the second identifier 520 that have been photographed are acquired from the second image.

In step S150B, the determination unit 144B determines the correspondence between the first feature amount and the second feature amount, and generates determination result information indicating that the determination code 500 is genuine or forged.

In step S180B, the generated determination result information is transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S190B, the determination result information processing unit 215B registers the determination result information in the determination result information database 231B.

As described above, in the determination system 10B according to the second modification of the first embodiment, the first feature amount and the second feature amount are acquired not in the server but in the information terminal 100, and the first feature amount and the second feature amount are acquired in the information terminal 100 instead of the server. The correspondence relationship between the two feature quantities is determined. Even in this case, the authenticity of the determination code 500 including the second identifier 520 that provides visual information can be determined without depending on the user's visual observation. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Further, since the determination code 500 includes the second identifier 520 that is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10B according to the modification of the first embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, the distribution of counterfeit products is prevented. be able to. Furthermore, the storage unit 230B of the server 200 stores a determination result information database 231B in which determination result information is accumulated. Therefore, by using the determination result information database 231B, it is possible to specify the types of determination codes 500 that are often determined to be counterfeit, and to change determination codes 500 that are in circulation as counterfeits.

<Second embodiment>
Another embodiment of the determination system 10 will be described with reference to FIG. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 10 is a flowchart diagram and a schematic diagram illustrating the process of step S140C of the authenticity determination process of the determination system 10 according to an embodiment of the present invention. As shown in FIG. 10(A), in the authenticity determination process of the determination system 10 according to the second embodiment, the process of step S140C is executed instead of the process of step S140 of FIG. 4(A). The process in step S140C includes step S141C and step S142C.

In step S141C, the second feature amount acquisition unit 213 extracts a plurality of specific regions from the second image. For example, as shown in FIG. 10B, the second feature acquisition unit 213 extracts three specific areas 621C (first specific areas 621C-1 to 621C-1 to A third specific area 621C-3) is extracted. Note that the second feature amount acquisition unit 213 may extract the specific region 621C according to a predetermined rule. Therefore, the second feature acquisition unit 213 can extract the specific region 621C from the second image 620 based on a predetermined pattern such as letters, numbers, or figures.

In step S142C, the second feature amount acquisition unit 213 generates feature amounts for each of the plurality of extracted specific regions 621C. The feature amount of the specific area 621C is an RGB value represented by the respective pixel values of an R pixel, a G pixel, and a B pixel, as shown in FIG. 10(C). The feature amount of the specific area 621C may be an average value of pixel values of a plurality of pixels included in the specific area 621, or may be an intermediate value. Further, the second feature amount acquisition unit 213 acquires position information of the specific area. Therefore, in the determination system 10 according to the second embodiment, feature amounts of a plurality of specific regions are generated, and a second feature amount including the feature amounts and position information of the plurality of specific regions is acquired.

As described above, in the determination system 10 according to the second embodiment, a plurality of specific regions are acquired from the second image without dividing the second image into a plurality of regions, and the characteristics of the plurality of specific regions are A second feature quantity including the quantity is obtained. Even in this case, the authenticity of the determination code 500 including the second identifier 520 that provides visual information can be determined without depending on the user's visual observation. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Further, since the determination code 500 includes the second identifier 520 that is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10 according to the second embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products can be prevented. .

<Third embodiment>
Another embodiment of the determination system 10 will be described with reference to FIG. 11. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 11 is a schematic diagram showing a determination code 500D whose authenticity is determined by the determination system 10 according to an embodiment of the present invention.

As shown in FIG. 11, the determination code 500D includes a first identifier 510D-1, a second identifier 510D-2, a third identifier 510D-3, and a second identifier 520. The second identifier 520 is divided into a first area 521D-1, a second area 521D-2, and a third area 521D-3. 1 identifier 510D-2 and third first identifier 510D-3 are identifiers assigned to first area 521D-1, second area 521D-2, and third area 521D-3, respectively. be. The first first identifier 510D-1, the second first identifier 510D-2, and the third first identifier 510D-3 respectively correspond to the first area 521D-1, the second area 521D-2, and located near the third area 521D-3. Therefore, in determining the authenticity of the determination code 500D, it is possible to photograph the first area 521D-1 and the first identifier 510D-1 at the same time. Similarly, the second area 521D-2 and the second first identifier 510D-2 are photographed simultaneously, and the third area 521D-3 and the third first identifier 510D-3 are photographed simultaneously.

Note that the number of second identifiers 520 classified is not limited to three. The number of second identifiers 520 classified may be n (n is a natural number).

Furthermore, the determination code 500D may be photographed at the same time as the first identifier 510D-1, the second identifier 510D-2, the third identifier 510D-3, and the second identifier 520. In this case, the image processing unit 211 can extract the first area 521D-1, the second area 521D-2, and the third area 521D-3 from the captured image.

In determining the authenticity of the determination code 500D, the first first feature amount is determined from the first first identifier 510D-1, the second first identifier 510D-2, and the third first identifier 510D-3, respectively. , a second first feature, and a third first feature are obtained. Further, from the first area 521D-1, the second area 521D-2, and the third area 521D-3, the first second feature, the second second feature, and the third A second feature amount is obtained. Therefore, the first second feature amount, the second second feature amount, and the third second feature amount are respectively the first first feature amount, the second first feature amount, and the third second feature amount. A correspondence relationship with the first feature amount is determined. Note that the determination unit 214 may generate determination result information indicating that the determination code 500D is genuine when the degree of similarity is greater than or equal to a predetermined threshold in all areas; If the degree of similarity is greater than or equal to a predetermined threshold, determination result information indicating that the determination code 500D is genuine may be generated.

As described above, in the determination system 10 according to the third embodiment, the second identifier 520 is divided into a plurality of areas 521D, and the first identifier 510D is assigned to each of the divided areas 521D. The authenticity of the code 500D can be determined. For example, even if the determination code 500D is large, the authenticity of the determination code 500D including the second identifier 520 that provides visual information can be determined without relying on the user's visual inspection. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Furthermore, since the determination code 500 includes the second identifier 520, which is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10 according to the third embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products can be prevented. .

<Fourth embodiment>
Another embodiment of the determination system 10 will be described with reference to FIG. 12. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 12 is a schematic diagram illustrating registration information included in the first identifier of the determination code 500 whose authenticity is determined by the determination system 10 according to an embodiment of the present invention.

The second identifier 520 that provides visual information may have a different color tone depending on the direction in which the second identifier 520 is photographed. In this case, since the second feature amount acquired from the second image differs depending on the shooting direction, the first identifier 510 can include a plurality of feature amounts having different angles in the shooting direction as registered information. For example, as shown in FIG. 12(A), the registration information includes feature amounts under different imaging conditions in a first angle imaging direction and a second angle imaging direction for each region. Note that the number of angles of the photographing direction included in the registration information is not limited to two.

Further, the second identifier 520 that provides visual information may have a different color tone depending on the intensity of light irradiated to the second identifier 520. In this case, since the second feature amount acquired from the second image differs depending on the light irradiation intensity, the first identifier 510 can include a plurality of feature amounts with different light irradiation intensities as registered information. For example, as shown in FIG. 12(B), the registration information includes feature amounts under different imaging conditions of the first light irradiation intensity and the second light irradiation intensity for each region. Note that the number of light irradiation intensities included in the registration information is not limited to two.

In the authenticity determination process of the determination system 10 according to the fourth embodiment, first feature amounts including feature amounts under a plurality of photographing conditions are acquired. Therefore, calculation of the similarity of the second feature amount to the first feature amount is performed for each of a plurality of imaging conditions, and a plurality of similarities are calculated. Therefore, the determination unit 214 can generate determination result information indicating that the determination code 500 is genuine when any one of the plurality of degrees of similarity is greater than or equal to a predetermined threshold.

As described above, in the determination system 10 according to the fourth embodiment, it is possible to determine authenticity in consideration of photographing conditions. Even in this case, the authenticity of the determination code 500 including the second identifier 520 that provides visual information can be determined without depending on the user's visual observation. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Further, since the determination code 500 includes the second identifier 520 that is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10 according to the fourth embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products can be prevented. .

The determination system 10 according to the fourth embodiment is not limited to the configuration described above, and can be modified in various ways. Below, several modified examples of the determination system 10 according to the fourth embodiment will be described. Note that, below, descriptions of configurations similar to those described above may be omitted.

<Modification of the fourth embodiment>
A determination system 10F, which is a modification of the fourth embodiment, will be described with reference to FIGS. 13 and 14.

FIG. 13 is a block diagram showing the configuration of a determination system 10F according to an embodiment of the present invention.

As shown in FIG. 13, the determination system 10F includes an information terminal 100 and a server 200. The information terminal 100 of the determination system 10F includes an imaging section 110, a display section 120, a communication section 130, and a sensor section 150F. Further, the server 200 of the determination system 10F includes a control section 210 and a communication section 220.

The sensor unit 150F is a sensor that can detect the shooting conditions of the determination code 500 and generate shooting condition data. For example, the sensor unit 150F can detect the angle of the information terminal 100 as a shooting condition and generate angle data. Further, the sensor unit 150F can detect illuminance as a photographing condition and generate illuminance data. That is, for example, a gyro sensor or an illuminance sensor can be used as the sensor section 150F.

FIG. 14 is a sequence diagram showing the authenticity determination process executed by the determination system 10F according to an embodiment of the present invention. As shown in FIG. 14, the authenticity determination process of the determination system 10F according to the modification of the fourth embodiment executes step S130F instead of step S130 in FIG. 3, and further includes step S105F and step S115F.

In step S105F, the sensor unit 150F detects the shooting condition of the determination code 500 and generates shooting condition data.

In step S115F, the generated photographing condition data is transmitted from the information terminal 100 to the server 200 via the communication unit 130. Thereby, the server 200 can acquire the imaging conditions of the determination code 500.

In step S130F, the first feature amount acquisition unit 212 extracts one of the feature amounts under a plurality of imaging conditions included in the registration information of the first identifier 510 from the first image based on the imaging condition data. selected and acquired as the first feature amount. That is, in step S130F, only the feature amount under the imaging condition closest to the imaging condition data is selected to obtain the first feature amount. Therefore, in calculating the degree of similarity between the second feature amount and the first feature amount, one degree of similarity is calculated, so that the amount of calculation can be reduced.

As described above, in the determination system 10F according to the modification of the fourth embodiment, it is possible to determine authenticity in consideration of photographing conditions. Even in this case, the authenticity of the determination code 500 including the second identifier 520 that provides visual information can be determined without depending on the user's visual observation. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Further, since the determination code 500 includes the second identifier 520 that is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10F according to the modification of the fourth embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products is prevented. be able to.

<Fifth embodiment>
Another embodiment of the determination system 10 will be described with reference to FIG. 15. Note that, below, descriptions of configurations similar to those described above may be omitted. For example, the configuration of the determination system 10 according to the fifth embodiment is the same as the determination system 10F shown in FIG. 13, so the description will be omitted here.

FIG. 15 is a sequence diagram showing the authenticity determination process of the determination code 500 executed by the determination system 10 according to an embodiment of the present invention. As shown in FIG. 15, in the authenticity determination process of the determination system 10 according to the fifth embodiment, steps S100G to S140G are executed instead of steps S100 to S140 in FIG.

In step S100G, the imaging unit 110 captures a first determination code image corresponding to the determination code 500 photographed under the first photographing condition and a second determination code image corresponding to the determination code 500 photographed under the second photographing condition. A judgment code image is generated. That is, in step S100G, at least two determination code images are generated.

In step S105G, the sensor unit 150F detects the first imaging condition and the second imaging condition of the determination code 500, and generates the first imaging condition data and the second imaging condition data. That is, in step S105G, at least two pieces of imaging condition data are generated.

In step S110G, the generated first determination code image and second determination code image are transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S115G, the generated first imaging condition data and second imaging condition data are transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S120G, the image processing unit 211 extracts a first image corresponding to the first identifier 510 and a second image corresponding to the second identifier 520 from each of the first determination code image and the second determination code image. do. That is, in step S120G, a first first image and a first second image are extracted from the first determination code image, and a second first image and a second second image are extracted from the second determination code image. is extracted.

In step S130G, the first feature acquisition unit 212 acquires the first feature of the second identifier 520 included in the registration information of the first identifier 510 from the first first image or the second first image. do.

In step S140G, the second feature amount acquisition unit 213 divides each of the first second image and the second second image into a plurality of regions. Further, the second feature amount acquisition unit 213 generates feature amounts of the plurality of divided regions. Further, the second feature amount acquisition unit 213 calculates the amount of change between the first second image and the second second image. Specifically, the second feature amount acquisition unit 213 generates, for each corresponding region, the rate of change in the feature amount of the region with respect to the angle data. That is, in step S<b>140</b>G, the rate of change in the feature amount of the region with respect to the angle data in each of the plurality of regions is acquired as the second feature amount of the second identifier 520 .

As described above, in the determination system 10 according to the fifth embodiment, it is possible to determine authenticity based on the amount of change between two second images with different imaging conditions. Even in this case, the authenticity of the determination code 500 including the second identifier 520 that provides visual information can be determined without depending on the user's visual observation. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Further, since the determination code 500 includes the second identifier 520 that is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10 according to the fifth embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products can be prevented. .

<Sixth embodiment>
Another embodiment of the determination system 10 will be described with reference to FIG. 16. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 16 is a flowchart diagram illustrating the process of step S150H of the authenticity determination process of the determination system 10 according to an embodiment of the present invention. As shown in FIG. 16, in the authenticity determination process of the determination system 10 according to the sixth embodiment, the process of step S150H is executed instead of the process of step S150 of FIG. The process in step S150H includes step S152H and step S153H instead of step S152 and step S153.

In step S152H, the determination unit 214 calculates the number of valid areas using the degree of matching calculated in step S151. For example, the number of valid regions is calculated by counting the number of regions having a degree of matching equal to or higher than a predetermined threshold. Note that the threshold value may be set to the same value for each region, or may be set to different values.

In step S153H, the determination unit 214 determines the correspondence between the first feature amount and the second feature amount based on the number of effective areas. Specifically, the determination unit 214 determines whether the number of valid areas is equal to or greater than a predetermined threshold. When the number of valid areas is equal to or greater than the predetermined threshold (step S153H: YES), step S154 is executed. On the other hand, when the number of valid areas is less than the predetermined threshold (step S153H: NO), step S155 is executed.

As described above, in the determination system 10 according to the sixth embodiment, the authenticity of the determination code 500 is determined based on the number of valid regions rather than the degree of similarity. Even in this case, the authenticity of the determination code 500 including the second identifier 520 that provides visual information can be determined without depending on the user's visual observation. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Further, since the determination code 500 includes the second identifier 520 that is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10 according to the sixth embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products can be prevented.

<Seventh embodiment>
Another embodiment of the determination system 10 will be described with reference to FIG. 17. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 17 is a flowchart diagram and a schematic diagram illustrating the process of step S140I of the authenticity determination process of the determination system 10 according to an embodiment of the present invention. As shown in FIG. 17(A), in the authenticity determination process of the determination system 10 according to the seventh embodiment, the process of step S140I is executed instead of the process of step S140 of FIG. 4(A). The process in step S140I includes step S143I.

In step S143I, the second feature amount acquisition unit 213 generates the feature amount of the second image. That is, in the authenticity determination process of the determination system 10 according to the seventh embodiment, a feature amount is not generated for each of a plurality of regions of the second image, but a feature amount for the entire second image is generated. Specifically, as shown in FIGS. 17(B) to 17(D), a histogram representing the frequency of each pixel value of an R pixel, a G pixel, and a B pixel is generated. Such an RGB histogram includes features such as contrast or brightness in each of RGB of the second image, and these features are expressed as a distribution shape. Therefore, in step S143I, the RGB histogram of the second image is acquired as the second feature amount.

Note that in determining the correspondence relationship between the first feature amount and the second feature amount in the determination system 10 according to the seventh embodiment, the position or number of peaks in the histogram, the ratio of overlapping areas, the average value, or the intermediate value The degree of similarity is calculated and determined based on the following.

As described above, in the determination system 10 according to the seventh embodiment, the second feature amount is acquired from the second image without dividing the second image into a plurality of regions. Even in this case, the authenticity of the determination code 500 including the second identifier 520 that provides visual information can be determined without depending on the user's visual observation. Therefore, user dependence in determining the authenticity of the determination code 500 is suppressed, and the accuracy of determining the authenticity of the determination code 500 can be improved. Further, since the determination code 500 includes the second identifier 520 that is difficult to copy, it is difficult to forge the determination code 500. Therefore, by determining the authenticity of the determination code 500 using the determination system 10 according to the seventh embodiment, it is possible to accurately distinguish between genuine products and counterfeit products, and as a result, distribution of counterfeit products can be prevented. .

Note that in the determination system 10 according to the seventh embodiment, the second image may be divided into a plurality of regions. In other words, in the determination system 10 according to the seventh embodiment, each of the first feature amount and the second feature amount may include histograms in a plurality of regions. In this case, in each of the plurality of regions, the degree of similarity is calculated based on the position or number of histogram peaks, the ratio of overlapping areas, the average value, the intermediate value, etc., and the authenticity of the determination code 500 is determined.

The embodiments described above as embodiments of the present invention can be implemented in appropriate combinations as long as they do not contradict each other. Moreover, additions, deletions, or design changes of components made by those skilled in the art based on each embodiment are also included in the scope of the present invention as long as they have the gist of the present invention.

Further, even if there are other effects that are different from those brought about by each of the embodiments described above, those that are obvious from the description of this specification or that can be easily predicted by a person skilled in the art will naturally be explained. It is understood that this is provided by the present invention.

10, 10A, 10B, 10F: Judgment system, 100: Information terminal, 110: Imaging unit, 120: Display unit, 130: Communication unit, 140A, 140B: Control unit, 141A, 141B: Image processing unit, 142A, 142B: First feature acquisition unit, 143A, 143B: Second feature acquisition unit, 144B: Judgment unit, 150F: Sensor unit, 200: Server, 210: Control unit, 211: Image processing unit, 212: First feature acquisition section, 213: second feature acquisition section, 214: judgment section, 215B: judgment result information processing section, 220: communication section, 230B: storage section, 231B: judgment result information database, 500, 500D: judgment code, 510, 510D: First identifier, 520: Second identifier, 521D: Area, 620: Second image, 621C: Specific area

Claims (20)

A first method for acquiring a first feature amount of the second identifier included in registration information of the first identifier based on a first image corresponding to the first identifier of a determination code including a first identifier and a second identifier. a feature acquisition unit;
a second feature amount acquisition unit that obtains a second feature amount of the photographed second identifier based on a second image corresponding to the second identifier;
A determination system comprising: a determination unit that determines a correspondence between the first feature amount and the second feature amount. The determination system according to claim 1, further comprising an image processing unit that obtains the first image and the second image from one image in which the determination code is captured. The determination unit generates determination result information indicating that the determination code is genuine when the degree of similarity of the second feature amount to the first feature amount is greater than or equal to a predetermined threshold. 2. The determination system described in 2. The determination system according to any one of claims 1 to 3, wherein the second feature includes a feature of each of a plurality of regions acquired from the second image. The determination system according to any one of claims 1 to 4, wherein each of the first feature amount and the second feature amount includes a pixel value represented by an RGB value. The determination system according to any one of claims 1 to 4, wherein each of the first feature amount and the second feature amount includes a pixel value represented by a grayscale value. The determination system according to any one of claims 1 to 4, wherein each of the first feature amount and the second feature amount includes a pixel value expressed in black and white binary. The determination system according to any one of claims 1 to 4, wherein each of the first feature amount and the second feature amount includes a histogram of pixel values represented by RGB values. The determination system according to any one of claims 1 to 8, wherein the first identifier is a two-dimensional code. The determination system according to any one of claims 1 to 9, wherein the second identifier is a hologram. A method for determining the authenticity of a determination code including a first identifier and a second identifier,
obtaining a first feature amount of the second identifier included in registration information of the first identifier based on a first image corresponding to the first identifier;
obtaining a second feature amount of the photographed second identifier based on a second image corresponding to the second identifier;
A method for determining the authenticity of a determination code, the method comprising determining the correspondence between the first feature amount and the second feature amount. The method for determining authenticity of a determination code according to claim 11, further comprising acquiring the first image and the second image from one image in which the determination code is photographed. 11. In determining the correspondence relationship, when the degree of similarity of the second feature to the first feature is equal to or higher than a predetermined threshold, determination result information indicating that the determination code is genuine is generated. Or the method for determining authenticity of a determination code according to claim 12. The determination code according to any one of claims 11 to 13, wherein a plurality of regions are obtained from the second image, and a feature amount of each of the plurality of regions is obtained as the second feature amount. Authenticity determination method. The method for determining authenticity of a determination code according to any one of claims 11 to 14, wherein each of the first feature amount and the second feature amount includes a pixel value represented by an RGB value. The method for determining authenticity of a determination code according to any one of claims 11 to 14, wherein each of the first feature amount and the second feature amount includes a pixel value represented by a grayscale value. The method for determining authenticity of a determination code according to any one of claims 11 to 14, wherein each of the first feature amount and the second feature amount includes a pixel value expressed in black and white binary. The method for determining authenticity of a determination code according to any one of claims 11 to 14, wherein each of the first feature amount and the second feature amount includes a histogram of pixel values represented by RGB values. The method for determining authenticity of a determination code according to any one of claims 11 to 18, wherein the first identifier is a two-dimensional code. The method for determining authenticity of a determination code according to any one of claims 11 to 19, wherein the second identifier is a hologram.

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