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WO2013018616A1 - Procédé de vérification, appareil de création d'étiquette, appareil de vérification, étiquette et programme - Google Patents

Procédé de vérification, appareil de création d'étiquette, appareil de vérification, étiquette et programme Download PDF

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Publication number
WO2013018616A1
WO2013018616A1 PCT/JP2012/068830 JP2012068830W WO2013018616A1 WO 2013018616 A1 WO2013018616 A1 WO 2013018616A1 JP 2012068830 W JP2012068830 W JP 2012068830W WO 2013018616 A1 WO2013018616 A1 WO 2013018616A1
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WO
WIPO (PCT)
Prior art keywords
collation
tag
information
feature amount
individual
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2012/068830
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English (en)
Japanese (ja)
Inventor
石山　塁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NEC Corp
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NEC Corp
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Filing date
Publication date
Application filed by NEC Corp filed Critical NEC Corp
Publication of WO2013018616A1 publication Critical patent/WO2013018616A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09F—DISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F3/00—Labels, tag tickets, or similar identification or indication means; Seals; Postage or like stamps
    • G09F3/02—Forms or constructions
    • G09F3/0297—Forms or constructions including a machine-readable marking, e.g. a bar code
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B42—BOOKBINDING; ALBUMS; FILES; SPECIAL PRINTED MATTER
    • B42D—BOOKS; BOOK COVERS; LOOSE LEAVES; PRINTED MATTER CHARACTERISED BY IDENTIFICATION OR SECURITY FEATURES; PRINTED MATTER OF SPECIAL FORMAT OR STYLE NOT OTHERWISE PROVIDED FOR; DEVICES FOR USE THEREWITH AND NOT OTHERWISE PROVIDED FOR; MOVABLE-STRIP WRITING OR READING APPARATUS
    • B42D25/00—Information-bearing cards or sheet-like structures characterised by identification or security features; Manufacture thereof
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09F—DISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F3/00—Labels, tag tickets, or similar identification or indication means; Seals; Postage or like stamps
    • G09F3/02—Forms or constructions
    • G09F3/0291—Labels or tickets undergoing a change under particular conditions, e.g. heat, radiation, passage of time
    • G09F3/0292—Labels or tickets undergoing a change under particular conditions, e.g. heat, radiation, passage of time tamper indicating labels

Definitions

  • the present invention relates to a collation method, a tag creation device, a collation device, a tag, and a program.
  • Patent Document 1 a technique has been proposed in which it is determined whether an attached tag is genuine, and whether an article to which the tag is attached is a so-called genuine article, a so-called fake article, a counterfeit article, or the like.
  • a predetermined area on a tag sheet is set as a registration area, and the tag has a random property along the surface of the sheet read out from the registration area.
  • An encoded image based on the image data corresponding to the distribution of is formed.
  • region is a non-image formation area
  • Patent Document 1 is based on various articles such as industrial products, agricultural products, documents, and certificates.
  • Tags are attached to each package that has been packed together, and the tag is attached based on whether the attached tag is made of genuine paper that matches the encoded image. It is possible to determine whether an article is a so-called genuine article, a so-called fake article, a counterfeit article, or the like.
  • Patent Document 1 merely determines whether or not the tag is legitimate, and does not collate the pasted object.
  • the authentic tag is peeled off and peeled off.
  • a tag is affixed to a so-called fake or imitation product, there is a problem that it is difficult to detect impersonation / replacement.
  • the present invention has been invented in view of the above problems, and it is not necessary to store information necessary for collation in a server or a storage medium, and a collation method and tag that can be collated by a collation device alone
  • the object is to provide a creation device, a collation device, a tag, and a program.
  • the present invention extracts a surface pattern feature quantity of a predetermined collation area of an individual, generates collation information based on the feature quantity, generates a tag to which the collation information is added, and adds the collation information.
  • the image of the collation area is captured, and the collation information of the tag and the feature amount of the surface pattern of the individual in the collation area are extracted from the captured image, This is a collation method for collating the extracted feature quantity of the collation area with the collation information of the tag.
  • a feature amount extracting unit that extracts a surface pattern feature amount of a predetermined collation region of an individual, a collation information generation unit that generates collation information based on the feature amount, and the collation information are added.
  • a tag creation device having tag generation means for generating a tag.
  • the present invention detects a tag from an image captured with respect to an individual to which a tag to which verification information is added is attached, detects verification information from the tag, and verification information reading means that reads the verification information from the tag,
  • a collation apparatus comprising: a feature amount extracting unit that extracts a feature amount of the surface pattern of the individual in a predetermined collation region; a collation unit that collates collation information of the tag and a feature amount of the extracted collation region. is there.
  • the present invention is a tag in which collation information generated based on the surface pattern feature amount of a predetermined collation area of an individual is written.
  • the present invention includes a process of extracting a surface pattern feature quantity of a predetermined collation area of an individual, a process of generating collation information based on the feature quantity, and a process of generating a tag to which the collation information is added.
  • a program that causes a computer to execute.
  • the present invention provides a process of detecting a tag from an image captured for an individual to which a tag to which verification information is added is attached and reading the verification information from the tag, and a predetermined verification from the captured image.
  • FIG. 1 is a diagram for explaining the present invention.
  • FIG. 2 is a diagram for explaining the present invention.
  • FIG. 3 is a block diagram of the tag creation apparatus according to the first embodiment.
  • FIG. 4 is a block diagram of the collation apparatus according to the first embodiment.
  • FIG. 5 is a block diagram of a tag creation apparatus according to the second embodiment.
  • FIG. 6 is a block diagram of a collation apparatus according to the second embodiment.
  • the present invention extracts the surface pattern feature quantity of a predetermined collation area of an individual, generates collation information based on the feature quantity, and generates a tag to which the collation information is added.
  • an image of the collation area is captured for an individual to which a tag to which collation information is added is attached, and the feature amount of the surface pattern of the individual in the collation area is extracted.
  • the feature amount of the surface pattern of the individual is read from the tag verification information.
  • the individual is not limited as long as the surface has a different surface pattern for each individual.
  • melon, strawberry, apple, lemon, none, tangerine, fresh flower, seafood Agricultural, forestry and fishery products such as wood, leather products, metal processed parts, woodwork products, cast resin, industrial products with ceramic parts (for example, semiconductor chips).
  • FIG 1 and 2 are diagrams for explaining the outline of the present invention.
  • the collation area is an area for extracting the surface pattern of the wallet 1 used to collate the wallet 1, and a specific method of the position and size is determined in advance.
  • the collation area there is a method in which an individual, that is, a specific position of the wallet 1 is preliminarily stored as a collation area. For example, there is a method in which the lower left on the right side of the wallet 1 is defined as a rectangular range of diagonal Xmm with one apex as a vertex. As another method, there is a method of determining relative to the attachment position of the wallet 1 of the tag 2. For example, in the case of the tag pasting position as shown in FIG.
  • the position of the left lateral XXmm with respect to the upper left vertex of the tag pasting position is the upper left vertex of the collation area, and the rectangular range of the diagonal YYmm from the upper left vertex of the collation area It is determined as a verification area.
  • Information such as the position and size of the collation area may be included in collation information described later, or the position and size of a predetermined collation area may be set in advance in the apparatus.
  • the position and size of the collation area can be determined as relative values with respect to the tag attachment position / tag size / direction.
  • a tag can be created and pasted by changing the position and size of the verification region for each individual.
  • the feature amount of the surface pattern of the wallet 1 in the collation area is extracted. Extraction of the feature quantity can be performed using a technique for extracting image features of a fingerprint such as an image luminance value, a feature point, an inflection point of a line of a binarized image, an intersection, an end point, and a center point.
  • the feature quantity extracted in this way is encoded to generate collation information.
  • the verification information is written in the tag 2 as a pattern that can be reliably read, for example, a QR code or electromagnetic information.
  • the tag 2 in which the verification information is written is affixed to a predetermined tag affixing position of the wallet 1.
  • the verification information written in the tag 2 is read.
  • the verification information written in the tag 2 when the verification information is written in an optically readable state like a QR code, the verification is performed from the image of the wallet 1 at the time of photographing performed at the time of verification. Read information. If the verification information is written by an electromagnetic method, the verification information is read by an electromagnetic method such as an RF reader. And the feature-value of the collation area
  • FIG. 2 shows an example of a collation method when the position information of the collation area is included in the collation information and written in the tag 2.
  • the wallet 1 When the wallet 1 is collated, an image of the wallet 1 including the tag 2 is taken. Then, the collation information is read from the QR code of the tag 2, and the feature amount and the position information of the collation area are extracted. If the position information of the collation area is a relative value with respect to the tag position, the position / posture size of the tag is also read and the position information of the collation area is corrected.
  • the collation area in the captured image is specified, and the surface pattern feature quantity of the collation area is extracted. Then, the feature amount written in the tag 2 and the feature amount of the surface pattern of the collation area obtained by photographing are collated, and if they match, the collated wallet 1 is authenticated as a genuine product. be able to.
  • the wallet 1 will be described as an example of an individual.
  • FIG. 3 is a block diagram of the tag creation device 10.
  • the tag creation device 10 exists on the producer or distributor (manufacturing company of industrial products, etc.) or the person who manages the distribution and quality of products in the distribution process, and includes an imaging unit 11, a collation area setting unit 12, and the like. , A feature amount extraction unit 13, a collation information generation unit 14, and a tag output unit 15.
  • the producer or distributor refers to a person involved in production (such as an industrial product production company) or a person who manages product distribution and quality (such as a wholesaler, retailer or agency) in the distribution process. It is a concept that includes.
  • the image pickup unit 11 may be provided with a special device for picking up the image of the wallet 1, but may be a digital camera equipped with a CCD, a CMOS, a mobile phone, or the like. Further, JPEG or the like may be used regardless of the file format of the captured image.
  • the collation area setting unit 12 sets a predetermined area of the wallet 1 as a collation area.
  • a method is used in which the collation area is set relative to the attachment position of the wallet 1 of the tag 2. Therefore, the tag 2 sticking position is set in advance, and the position information of the collation area relative to the tag 2 is set.
  • the upper left vertex of the collation area corresponds to the position of the left lateral XXmm with respect to the upper left vertex of the tag 2
  • collation area position information is set with the rectangular range of the diagonal YYmm from the upper left vertex of the collation area as the collation area. It shall be.
  • the feature amount extraction unit 13 specifies a collation region based on the collation region position information of the collation region setting unit 12 from the image photographed by the imaging unit 11, and extracts the feature amount of the surface pattern of the wallet 1 in the collation region. To do.
  • a dummy tag having the same size as the tag 2 is attached to the wallet 1 at the tag application position where the tag 2 is attached, and the wallet 1 attached with the dummy tag is attached to the imaging unit 1.
  • the dummy tag is detected from the image, and the collation area is specified based on the detected position and collation area position information.
  • a feature amount of the surface pattern is extracted from the image of the collation area specified in this way.
  • the feature amount extraction uses a technique for extracting image features of a fingerprint such as a luminance value of an image, a feature point, an inflection point of a line of a binarized image, an intersection, an end point, and a center point.
  • the collation information generation unit 14 encodes the collation region position information from the collation region setting unit 12 and the feature amount extracted by the feature amount extraction unit 13, and converts it into a two-dimensional code such as a QR code. That is, collation information that becomes a two-dimensional code is generated. It should be noted that at the time of encoding, encryption using an encryption key may be performed by applying an electronic signature authentication method based on PKI (Public Key Infrastructure).
  • PKI Public Key Infrastructure
  • the tag output unit 15 generates a code image of the verification information based on the generated verification information, and prints the code image on the tag 2.
  • a code image of the verification information based on the generated verification information
  • an example of a printed matter that can be optically read like a QR code has been described. However, it may be written on the tag 2 as electromagnetic information.
  • the tag 2 created in this way is attached to a predetermined attachment position of the wallet 1 and the wallet 1 is shipped.
  • FIG. 4 is a block diagram of the collation device 20.
  • the collation device 20 exists on the side that collates products such as retail stores, distribution managers, and consumers, and includes an imaging unit 21, a collation information reading unit 22, a collation area setting unit 23, and a feature amount extraction unit 24. And a collation unit 25.
  • the imaging unit 21 may be provided with a special device for capturing the image of the wallet 1 to be collated, but may be a digital camera equipped with a CCD, a CMOS, a mobile phone, or the like. Further, JPEG or the like may be used regardless of the file format of the captured image.
  • the collation information reading unit 22 detects the tag 2 from the image of the wallet 1 taken by the imaging unit 21 and reads the collation information from the tag 2. Then, the feature amount of the wallet 1 and the matching region position information are separated from the read matching information, and the feature amount of the wallet 1 is output to the matching unit 25 and the matching region position information is output to the feature amount extraction unit 24.
  • the feature amount extraction unit 24 detects the tag 2 from the image of the wallet 1 photographed by the imaging unit 21 and is positioned relative to the tag 2 based on the collation region position information from the collation information reading unit 22. Specify the verification area. And the feature-value of the surface pattern of the wallet 1 which is a collation object is extracted from the image of the identified collation area
  • the collation unit 25 collates the feature amount of the wallet 1 from the collation information reading unit 22 with the feature amount of the wallet 1 to be collated from the feature amount extraction unit 24.
  • This is a method for matching feature quantities. For example, the end points, intersections, and corners of surface pattern lines are used as feature points, and the arrangement of feature points is collated, and the number of feature points in the same position (within a certain threshold) Are the same when the number is equal to or greater than a predetermined number.
  • an existing fingerprint collation technique can be used. And the result of collation is output.
  • the present invention it is not necessary to collectively store the feature quantities of the genuine products necessary for collation in the server or the storage medium, and the feature quantities necessary for collation can be read from the tag. Therefore, it is possible to perform collation at low cost and at high speed.
  • the collation area is a partial area of the individual, not the tag itself. Therefore, even if the tag itself is authentic, it is possible to prevent the camouflage that the individual is replaced.
  • the collation area is fixed at a predetermined position of the product, and the tag attaching position is also fixed.
  • these positions and orientations can be changed for each individual. By doing so, there is an effect of further preventing impersonation.
  • the collation area is set as a position relative to the tag attachment position. In this way, even if the fixed position of the product is deviated and the tag attachment position is deviated from the product, the collation information recorded on the tag is stored in the collation area relative to the tag. Since it is a feature amount, the same collation area can be collated as long as the tag attachment position does not change with respect to the product.
  • the example has been described in which the feature amount of the surface pattern of a predetermined collation region of the individual is extracted and this feature amount is written in the tag as the collation information.
  • the information to be written in the tag is not limited to the feature amount of the surface pattern of the predetermined collation area of the individual.
  • predetermined data is encrypted using the feature amount as a key, not the surface pattern feature amount of the collation area, and the encrypted data is written to the tag as collation information.
  • An example will be described in which the object is verified by checking whether or not the encrypted verification information can be decrypted into predetermined data using the feature value extracted from the verification area as a key during verification.
  • FIG. 5 is a block diagram of the tag creation apparatus 10 according to the second embodiment.
  • symbol is attached
  • the difference of the second embodiment from the first embodiment is the configuration of the verification information generation unit 140.
  • the collation information generation unit 140 encrypts predetermined data using the feature amount extracted by the feature amount extraction unit 13 as a key. Other configurations are the same as those of the collation information generation unit 14.
  • FIG. 6 is a block diagram of the collation apparatus 20 according to the second embodiment.
  • symbol is attached
  • the collation information reading unit 22 detects the tag 2 from the image of the wallet 1 taken by the imaging unit 21 and reads the collation information from the tag 2. Then, the encrypted predetermined data and the verification area position information are separated from the read verification information, and the encrypted predetermined data is output to the verification unit 250 and the verification area position information is output to the feature amount extraction unit 24, respectively. To do.
  • the feature amount extraction unit 24 detects the tag 2 from the image of the wallet 1 photographed by the imaging unit 21 and is positioned relative to the tag 2 based on the collation region position information from the collation information reading unit 22. Specify the verification area. And the feature-value of the surface pattern of the wallet 1 which is a collation object is extracted from the image of the identified collation area
  • the collation unit 250 stores in advance predetermined data used in the collation information generation unit 140 of the tag creation device 10. Then, the encrypted predetermined data output from the collation information reading unit 22 is decrypted using the feature amount of the wallet 1 to be collated output from the feature amount extraction unit 24. If the decrypted data is the same as the predetermined data stored in advance, it is determined to be a genuine product.
  • the encryption technology described above is a conventional technology called Fuzzy Extractor that uses pattern features as an encryption key (for example, Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other noisysy Data, SIAM Journal on Computing, 38 (1): 97-139, 2008) is available.
  • each unit can be configured by hardware, but can also be realized by a computer program.
  • functions and operations similar to those of the above-described embodiment are realized by a processor that operates according to a program stored in the program memory.
  • Additional remark 2 The collation method of Additional remark 1 by which the information of the position and magnitude
  • the said collation information contains the information of the feature-value of the surface pattern of the collation area
  • the collation method according to any one of appendix 1 to appendix 4, wherein the feature amount extracted from the collation area of the individual to which the tag is attached is matched with the feature amount of the collation information.
  • the said collation information is the data which encrypted the predetermined data using the feature-value of the surface pattern of the collation area
  • the feature-value extraction means which extracts the feature-value of the surface pattern of the predetermined
  • a tag generation device including tag generation means for generating a tag to which the verification information is added;
  • the said collation information generation means is a tag production apparatus of Additional remark 8 which includes the information of the position and magnitude
  • the said feature-value extraction means is a tag production apparatus of Additional remark 8 with which the position and magnitude
  • the said feature-value extraction means is a tag production apparatus in any one of Additional remark 8 to Additional remark 10 which changes and sets the position and magnitude
  • generation means is a tag production apparatus in any one of Additional remark 8 to Additional remark 11 which produces
  • the said collation information generation means produces
  • Tag making device
  • generation means is a tag production apparatus in any one of the additional remark 8 to the additional remark 13 which encrypts the said collation information.
  • the collation information reading means which detects a tag from the image imaged with respect to the individual
  • the collation apparatus which has the collation means which collates the collation information of the said tag, and the extracted feature-value of the collation area
  • the said collation information reading means reads the information of the position and magnitude
  • the collation apparatus according to supplementary note 15, wherein the feature amount extraction unit identifies an individual collation area based on information on a position and a size of the collation area.
  • the said collation information reading means outputs the position of the detected tag to the said feature-value extraction means,
  • the collation apparatus according to supplementary note 17, wherein the feature amount extraction unit identifies a collation region having a predetermined position and size with respect to the detected tag position.
  • the collation information includes information on the feature amount of the surface pattern of the individual collation area, The collation device according to any one of appendix 15 to appendix 18, wherein the collation unit collates the feature amount extracted from the collation region of the individual to which the tag is attached and the feature amount of the collation information.
  • the collation information is data obtained by encrypting predetermined data using the surface pattern feature amount of the individual collation area as a key. From the supplementary note 15, wherein the collating means decrypts the encrypted data of the tag using the feature amount extracted from the collation area of the individual to which the tag is attached as a key, and collates whether the predetermined data can be decrypted
  • the verification device according to any one of appendix 18.

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)

Abstract

La présente invention concerne un procédé de vérification consistant à extraire les caractéristiques d'un motif de surface dans une région de vérification prescrite d'un objet pour générer des informations de vérification sur la base des caractéristiques, à générer une étiquette ayant les informations de vérification ajoutées à celle-ci, à capturer une image de la région de vérification de l'objet sur lequel l'étiquette ayant les informations de vérification ajoutées à celle-ci est appliquée, à extraire, à partir de l'image capturée, les informations de vérification de l'étiquette et les caractéristiques du motif de surface dans la région de vérification de l'objet, et à comparer les caractéristiques extraites de la région de vérification avec les informations de vérification de l'étiquette.
PCT/JP2012/068830 2011-07-29 2012-07-25 Procédé de vérification, appareil de création d'étiquette, appareil de vérification, étiquette et programme Ceased WO2013018616A1 (fr)

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JP2011-166791 2011-07-29
JP2011166791 2011-07-29

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WO2013018616A1 true WO2013018616A1 (fr) 2013-02-07

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023046978A (ja) * 2021-09-24 2023-04-05 富士フイルムビジネスイノベーション株式会社 照合装置及びプログラム

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002236960A (ja) * 2000-10-30 2002-08-23 Hewlett Packard Co <Hp> 物理媒体の物理的特性を用いるドキュメント認証方法及び装置
JP2003044257A (ja) * 2001-08-02 2003-02-14 Dainippon Printing Co Ltd 印刷物、印刷システム、読み取り装置
WO2005071939A1 (fr) * 2004-01-22 2005-08-04 Sony Corporation Dispositif, procede et programme empechant la copie non autorisee
JP2006146570A (ja) * 2004-11-19 2006-06-08 National Agriculture & Bio-Oriented Research Organization 個体認証システム並びにそれを用いた農産物の追跡方法及び農産物追跡システム

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002236960A (ja) * 2000-10-30 2002-08-23 Hewlett Packard Co <Hp> 物理媒体の物理的特性を用いるドキュメント認証方法及び装置
JP2003044257A (ja) * 2001-08-02 2003-02-14 Dainippon Printing Co Ltd 印刷物、印刷システム、読み取り装置
WO2005071939A1 (fr) * 2004-01-22 2005-08-04 Sony Corporation Dispositif, procede et programme empechant la copie non autorisee
JP2006146570A (ja) * 2004-11-19 2006-06-08 National Agriculture & Bio-Oriented Research Organization 個体認証システム並びにそれを用いた農産物の追跡方法及び農産物追跡システム

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023046978A (ja) * 2021-09-24 2023-04-05 富士フイルムビジネスイノベーション株式会社 照合装置及びプログラム
JP7767798B2 (ja) 2021-09-24 2025-11-12 富士フイルムビジネスイノベーション株式会社 照合装置及びプログラム

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