CN108537028A - A kind of computer identity identifying system and method - Google Patents

Abstract

The invention discloses a kind of computer identity identifying system and methods.The system includes：Registration module, recognition mode selecting module, I log in subsystem, other people log in subsystem and database.The present invention passes through setting login mode and other people two kinds of computer login mode of login mode, other people can be allowed temporarily to enter computer while improving computer security performance and carry out specific operation, when efficiently solving before addressee absent computer but being badly in need of knowing certain information of computer-internal, other people can enter computer help and obtain relevant information；It i.e. under my login mode, is verified by multiple matching, while needing just match after decrypting facial image, sound and fingerprint, improve safety；Under other people login mode, the head image information of operator and mobile phone MAC Address are stored in database first, using the evidence checked as the later stage, other people log into thr computer identifications is completed secondly by Quick Response Code and authorization code, improves safety.

Description

System and method for computer identification

technical field

The present invention relates to the field of identification, and more specifically relates to a computer identification system and method.

Background technique

With the continuous development of computer technology, information security has become the focus of attention, especially in the fields of computer information systems such as airports, banks, prisons, various government departments, military institutions, and enterprises. The usual method is to set and input various forms of passwords on each computer, or use magnetic cards, fingerprints and other means to confirm the user's identity and responsibility during work to prevent illegal The user with the identity uses the machine or accesses the computer system through the machine.

However, the computer identification system in the prior art usually verifies the identity of the person through various identification methods to improve computer security, that is, in order to improve the security performance of the computer, only the person can be identified through complex identification methods And it can be identified successfully, but others cannot be identified. However, when I am not in front of the computer but urgently need to know some information inside the computer, I need other people near the computer to help me obtain it. At this time, I need others to also enter the computer through identification. Security features can also allow the presence of technology that allows others to gain access to the computer.

Contents of the invention

The embodiment of the present invention provides a computer identity recognition system and method to solve the problems existing in the prior art.

An embodiment of the present invention provides a computer identity recognition system, including: a registration module, an identification mode selection module, a personal login subsystem, an other person's login subsystem, and a database, and the registration module, the personal login subsystem and the other person's The login subsystems are all connected to the database;

The registration module includes: basic information registration unit, face image data registration unit, sound data registration unit and fingerprint data registration unit;

The basic information registration unit is used to fill in the basic information of the user when the user registers;

The face image data registration unit is used to take pictures to obtain facial images from different angles of the user when the user registers, perform feature extraction and encrypt the image feature data package after being divided into blocks according to the area;

The voice data registration unit is used to obtain the user's voice feature information and encrypt the voice feature data packet when the user registers;

The fingerprint data registration unit is used to obtain the user's fingerprint feature information and encrypt the fingerprint feature data packet when the user registers;

The recognition mode selection module is used to select the login mode of the person or the login mode of others on the graphical interface after the computer is turned on;

Said personal login subsystem includes: a collection module, a feature extraction module and a matching identification module;

The collection module includes: a face image data collection unit, a sound data collection unit and a fingerprint data collection unit;

The feature extraction module includes: a face image feature extraction unit, a sound feature extraction unit and a fingerprint feature extraction unit;

The matching recognition module includes: a random question matching unit, a dynamic password matching unit, a face image matching unit, a sound matching unit, a fingerprint matching unit and a recognition unit;

The random question matching unit is used to reply to the random question raised according to the basic information filled in during registration on the question answering interface, if the answer is correct, the matching is successful, otherwise it fails;

The dynamic password matching unit is used to fill in the dynamic password received by the mobile phone corresponding to the mobile phone number in the basic information filled in when registering in the dynamic password input interface. If the input is correct, the matching is successful, otherwise it fails;

The face image matching unit is used to decrypt the image feature data packet after the random question matching unit matches again, and pass through the face image data acquisition unit and the face image feature extraction unit. The data is compared with the decrypted image feature data. If the similarity of the comparison results reaches 90%, the matching is successful, otherwise it fails;

The sound matching unit is used to decrypt the sound feature data packet after the random question matching unit is successfully matched, and combine the data passing through the sound data acquisition unit and the sound feature extraction unit with the decrypted sound The feature data is compared, if the similarity of the comparison results reaches 90%, the matching is successful, otherwise it fails;

The fingerprint matching unit is used to decrypt the fingerprint feature data packet after the random question matching unit successfully matches again, and combine the data passing through the fingerprint data acquisition unit and the fingerprint feature extraction unit with the decrypted fingerprint The feature data is compared, if the similarity of the comparison results reaches 90%, the matching is successful, otherwise it fails;

The identification unit is used to determine that when the random question, the dynamic password, the face image, the voice and the fingerprint all match successfully within three times, then the identity identification of the person logging in to the computer is successful;

Others' login subsystem includes: authorization code generation module, other people's avatar collection module, mobile phone connection authentication module, two-dimensional code generation module and identification confirmation module;

In the authorization code generation module, when the other person's login mode is selected, the computer sends the other person's login authorization code to the mobile phone of the registered user;

The other person's head portrait collection module is used to collect other people's head portrait data and store it in the database;

The mobile phone connection authentication module is used to search other people's mobile phones currently logged in by other people through the WIFI module on the computer, obtain the MAC address of other people's mobile phones and store them in the database;

The two-dimensional code generation module includes: a face image two-dimensional code generation unit, a sound two-dimensional code generation unit and a fingerprint two-dimensional code generation unit;

The face image two-dimensional code generating unit is used to randomly generate the face image two-dimensional code according to the frame data in the image feature data packet;

The sound two-dimensional code generation unit is used to randomly generate the sound two-dimensional code according to the frame data in the sound feature data packet;

The fingerprint two-dimensional code generating unit is used to randomly generate the fingerprint two-dimensional code according to the frame data in the fingerprint feature data packet;

The identification and confirmation module scans one or more of the face image two-dimensional code, sound two-dimensional code, and fingerprint two-dimensional code popped up by the computer through other people's mobile phones, and enters the other person's login authorization code in the scanned pop-up box , if the input authorization code for other people's login is successfully matched within three times, the identification of other people's login computer is successful.

Further, the basic information includes: name, mobile phone number, ID number, QQ number, school name at each stage, work unit name at each time period, names of parents, siblings, and friends.

Furthermore, the computer identification system provided by the embodiment of the present invention further includes: an alarm module; the alarm module is used to send an alarm signal when the computer fails to be identified or someone else fails to log in to the computer.

Further, the other person's login subsystem further includes: a monitoring module; the monitoring module is used to monitor the number of people in front of the computer in the other person's login mode, and when the number of people is greater than one, the computer turns off the display screen.

Further, the monitoring module includes: an infrared monitor and/or a video monitor.

Further, the other person's login subsystem further includes: an access record generation module; the access record generation module is used to package and record the access history path after entering the computer through the other person's login subsystem according to time.

An embodiment of the present invention provides a computer identification method, including:

When the user registers, obtain the user's basic information, encrypted image feature data package, encrypted sound feature data package and encrypted fingerprint feature data package;

On the graphical interface after the computer is turned on, select the self-login mode or the other-person login mode;

When the personal login mode is selected, face image data, voice data and fingerprint data are collected, and feature extraction is performed on the face image data, voice data and fingerprint data;

Match random questions, dynamic passwords, face images, voices and fingerprints;

When it is judged that random questions, dynamic passwords, face images, voices and fingerprints all match successfully within three times, the identity identification of the person logging in to the computer is successful;

When the other person's login mode is selected, the computer sends the other person's login authorization code to the registered user's mobile phone;

Collect other people's avatar data and store it in the database;

Use the WIFI module on the computer to search for other people's mobile phones that are currently logged in by others, obtain the MAC address of other people's mobile phones and store them in the database;

Randomly generate face image QR codes, voice QR codes and fingerprint QR codes;

Use someone else's mobile phone to scan one or more of the face image QR code, voice QR code, and fingerprint QR code popped up by the computer, and enter the login authorization code in the pop-up box after scanning. If the authorization code is successfully matched within three times, the identity identification of others logging in to the computer is successful.

Further, when the user registers, the acquisition of the basic information of the user, the encrypted image feature data package, the encrypted sound feature data package and the encrypted fingerprint feature data package specifically includes:

Fill in the basic information of the user;

Take pictures to obtain the user's face images from different angles, perform feature extraction and encrypt the image feature data package after being divided into blocks according to the area;

Obtain the user's voice feature information and encrypt the voice feature data packet;

Obtain the user's fingerprint feature information and encrypt the fingerprint feature data package.

Further, the matching of random questions, dynamic passwords, face images, voices and fingerprints specifically includes:

In the question answering interface, reply to the random question raised according to the basic information filled in during registration. If the answer is correct, the match is successful, otherwise it fails;

In the dynamic password input interface, fill in the dynamic password received by the mobile phone corresponding to the mobile phone number in the basic information filled in during registration. If the input is correct, the matching is successful, otherwise it fails;

After the random question matching is successful again, the face image feature data package is decrypted, and the face image data after feature extraction is compared with the decrypted image feature data. If the similarity of the comparison result reaches 90%, the match is successful. Otherwise fail;

After the random question matching is successful again, the sound feature data packet is decrypted, and the sound data after feature extraction is compared with the decrypted sound feature data. If the similarity of the comparison results reaches 90%, the matching is successful, otherwise it fails;

After the random question matching is successful again, the sound feature data packet is decrypted, and the sound data after feature extraction is compared with the decrypted sound feature data. If the similarity of the comparison results reaches 90%, the matching is successful, otherwise it fails.

Further, the random generation of face image two-dimensional code, voice two-dimensional code and fingerprint two-dimensional code specifically includes:

Randomly generate a face image QR code according to the frame data in the image feature data package;

Randomly generate a sound QR code according to the frame data in the sound feature data packet;

According to the frame data in the fingerprint feature data package, the fingerprint QR code is randomly generated.

In the embodiment of the present invention, a computer identity recognition system and method are provided. Compared with the prior art, the beneficial effects are as follows:

The present invention sets two computer login modes, the personal login mode and the other person's login mode, which can allow others to temporarily enter the computer to perform specific operations while improving the security performance of the computer, and effectively solves the problem that when the person is not in front of the computer but urgently needs to know certain information inside the computer When accessing some information, others can access the computer to help obtain relevant information. That is, in the personal login mode, through random question matching, dynamic password matching, face image matching, voice matching and fingerprint matching, and if the matching is successful within three times, the personal login computer identity recognition is successful. Among them, the face image The face image, voice and fingerprint of matching, sound matching and fingerprint matching need to be decrypted through random questions again before they can be matched. Random question matching, dynamic password matching, face image matching, sound matching and fingerprint matching are integrated. Multiple matching verification, at the same time, it is necessary to decrypt the face image, voice and fingerprint before matching, thus reliably improving the security of the computer. That is, in the login mode of others, firstly, the operator’s avatar information and the MAC address of the mobile phone are stored in the database as evidence for later viewing; secondly, the face image QR code and the sound QR code popped up by the computer are scanned by other people’s mobile phones , one or more of fingerprint QR codes, and enter the authorization code for other people’s login in the pop-up box after scanning. If the input authorization code for other people’s login is successfully matched within three times, the identification of the other person’s computer login is successful, thereby improving The security of others logging into the computer.

Description of drawings

Fig. 1 is a main functional block diagram of a computer identification system provided by an embodiment of the present invention;

Fig. 2 is a block diagram of the registration module provided by the embodiment of the present invention;

Fig. 3 is a block diagram of the personal login subsystem provided by the embodiment of the present invention;

FIG. 4 is a block diagram of another person's login subsystem provided by an embodiment of the present invention;

FIG. 5 is a main functional block diagram of another computer identification system provided by an embodiment of the present invention;

FIG. 6 is a main flow chart of a computer identification method provided by an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Fig. 1 is a computer identification system provided by an embodiment of the present invention. As shown in Figure 1, the system includes: registration module 1, identification mode selection module 2, personal login subsystem 31, other people's login subsystem 32 and database 4, and registration module 1, personal login subsystem 31 and other people's login subsystem 32 are all connected with database 4.

Specifically, the registration module 1 includes: a basic information registration unit 11 , a face image data registration unit 12 , a sound data registration unit 13 and a fingerprint data registration unit 14 .

Further, the basic information registration unit 11 is used to fill in the basic information of the user when the user registers; the basic information involved in the present invention includes: name, mobile phone number, ID number, QQ number, school name at each stage, and time period The name of the work unit, the names of parents, siblings and friends, etc.

Further, the facial image data registration unit 12 is used to take pictures to obtain facial images from different angles of the user when the user is registered, perform feature extraction and encrypt the image feature data package after being divided into blocks according to the area.

Further, the voice data registration unit 13 is configured to acquire the user's voice characteristic information and encrypt the voice characteristic data packet when the user registers.

Further, the fingerprint data registration unit 14 is configured to obtain the user's fingerprint feature information and encrypt the fingerprint feature data packet when the user is registered.

It should be noted that, in order to prevent personal face image data, voice data and fingerprint data from being stolen, the face image data, voice data and fingerprint data are encrypted.

Specifically, the identification mode selection module 2 is used to select the personal login mode or the other person's login mode on the graphical interface after the computer is turned on.

Specifically, the personal login subsystem 31 includes: a collection module 311 , a feature extraction module 312 and a matching identification module 313 .

Further, the acquisition module 311 includes: face image data acquisition unit 311-1, voice data acquisition unit 311-2 and fingerprint data acquisition unit 311-3; feature extraction module 312 includes: face image feature extraction unit 312-1, Sound feature extraction unit 312-2 and fingerprint feature extraction unit 312-3; matching recognition module 313 includes: random question matching unit 313-1, dynamic password matching unit 313-2, face image matching unit 313-3, sound matching unit 313-4, fingerprint matching unit 313-5 and identification unit 313-6.

Among them, the random question matching unit 313-1 is used to reply the random question raised according to the basic information filled in during the registration on the question answering interface, if the answer is correct, the matching is successful, otherwise it fails.

Among them, the dynamic password matching unit 313-2 is used to fill in the dynamic password received by the mobile phone corresponding to the mobile phone number in the basic information filled in during registration in the dynamic password input interface. If the input is correct, the matching is successful, otherwise it fails.

Wherein, the face image matching unit 313-3 is used to decrypt the image feature data packet after the random question matching unit 313-1 matches successfully again, and will pass through the face image data acquisition unit 311-1 and the face image feature The data of the extraction unit 312-1 is compared with the decrypted image feature data, and if the similarity of the comparison result reaches 90%, the matching is successful; otherwise, it fails.

Wherein, the sound matching unit 313-4 is used to decrypt the sound feature data packet after the random question matching unit 313-1 matches successfully again, and pass through the sound data collection unit 311-2 and the sound feature extraction unit 312-2. The data is compared with the decrypted voice feature data, and if the similarity of the comparison result reaches 90%, the matching is successful, otherwise it fails.

Among them, the fingerprint matching unit 313-5 is used to decrypt the fingerprint feature data packet after the random question matching unit 313-1 successfully matches again, and will pass through the fingerprint data collection unit 311-2 and the fingerprint feature extraction unit 312-2. The data is compared with the decrypted fingerprint feature data, and if the similarity of the comparison result reaches 90%, the matching is successful, otherwise it fails.

Among them, the identification unit 313-6 is used to judge that when the random question, the dynamic password, the face image, the voice and the fingerprint all match successfully within three times, then the identity identification of the person logging in to the computer is successful.

Specifically, the other person's login subsystem 32 includes: an authorization code generation module 321 , another person's avatar collection module 322 , a mobile phone connection authentication module 323 , a two-dimensional code generation module 324 and an identification confirmation module 325 .

Further, the authorization code generation module 321, when the other person's login mode is selected, the computer sends the other person's login authorization code to the mobile phone of the registered user; the other person's head portrait collection module 322 is used to collect the other person's head portrait data and store it in the database 4; the mobile phone connection authentication Module 323 is used to search for other people's mobile phones currently logged in by other people through the WIFI module on the computer, and obtains the MAC address of other people's mobile phones and stores them in the database 4; the two-dimensional code generation module 324 includes: a human face image two-dimensional code generation unit 324-1, sound two-dimensional code generation unit 324-2 and fingerprint two-dimensional code generation unit 324-3; identification and confirmation module 325, which scans the face image two-dimensional code, sound two-dimensional code, and fingerprint two-dimensional code popped up by the computer through other people's mobile phones One or more of the two-dimension codes, and enter the other person's login authorization code in the pop-up box after scanning. If the input other person's login authorization code matches within three times, the other person's computer login is successfully identified.

Wherein, face image two-dimensional code generating unit 324-1 is used to randomly generate face image two-dimensional code according to the frame data in the image feature data packet; sound two-dimensional code generating unit 324-2 is used to The frame data in the package randomly generates a sound two-dimensional code; the fingerprint two-dimensional code generating unit 324-3 is used to randomly generate a fingerprint two-dimensional code according to the frame data in the fingerprint feature data package.

Preferably, the other person's login subsystem 32 also includes: a monitoring module 326; the monitoring module 326 is used to monitor the number of people in front of the computer in the other person's login mode, and when the number is greater than one, the computer turns off the display screen. Wherein, the monitoring module 326 includes: an infrared monitor and/or a video monitor.

Preferably, the other person's login subsystem 32 further includes: an access record generation module 327; the access record generation module 327 is used to package and record the access history path after entering the computer through the other person's login subsystem 32 according to time.

Preferably, referring to Fig. 5, the computer identification system provided by the embodiment of the present invention also includes: an alarm module 5; Send an alarm signal.

FIG. 6 is a main flow chart of a computer identification method provided by an embodiment of the present invention. As shown in Figure 6, the method includes:

Step S1, when the user registers, obtain the basic information of the user, the encrypted image feature data package, the encrypted sound feature data package and the encrypted fingerprint feature data package.

Specifically, it includes: filling in the basic information of the user when registering; taking pictures to obtain facial images from different angles of the user, performing feature extraction and encrypting the image feature data package after being divided into blocks according to the area; obtaining the user's voice feature information and Encrypt the sound feature data package; obtain the user's fingerprint feature information and encrypt the fingerprint feature data package.

Step S2, select the self-login mode or the other-person login mode on the graphical interface after the computer is turned on.

When selecting the personal login mode, the following three steps are included:

Step S311, collecting face image data, voice data and fingerprint data, and performing feature extraction on the face image data, voice data and fingerprint data.

Step S312, matching random questions, dynamic passwords, face images, voices and fingerprints.

Specifically include: answering random questions based on the basic information filled in during registration on the question answering interface. If the answer is correct, the match is successful, otherwise it fails; If the dynamic password is entered correctly, the matching is successful, otherwise it fails; after the random question matching is successful again, the face image feature data packet is decrypted, and the face image data after feature extraction is compared with the decrypted image feature data. Control, if the similarity of the comparison results reaches 90%, the matching is successful, otherwise it fails; after the random question matching is successful again, the sound feature data packet is decrypted, and the sound data after feature extraction is compared with the decrypted sound feature data , if the similarity of the comparison results reaches 90%, the matching is successful, otherwise it fails; after the random question matching is successful again, the sound feature data packet is decrypted, and the sound data after feature extraction is compared with the decrypted sound feature data, If the similarity of the control results reaches 90%, the matching is successful, otherwise it fails.

Step S313, when it is judged that the random question, the dynamic password, the face image, the voice and the fingerprint all match successfully within three times, then the identification of the person logging in to the computer is successful.

When selecting the login mode of others, it includes the following five steps:

In step S321, the computer sends the other person's login authorization code to the mobile phone of the registered user.

Step S322, collecting other people's avatar data and storing it in the database.

In step S323, the WIFI module on the computer searches for other people's mobile phones currently logged in by other people, obtains the MAC addresses of other people's mobile phones and stores them in the database.

Step S324, randomly generating a face image QR code, a voice QR code and a fingerprint QR code.

Step S325, scan one or more of the face image two-dimensional code, voice two-dimensional code, and fingerprint two-dimensional code popped up by the computer through other people's mobile phones, and enter the other person's login authorization code in the pop-up box after scanning. If the other person's login authorization code is successfully matched within three times, then the other person's computer login identification is successful.

In summary, the present invention can allow others to temporarily enter the computer to perform specific operations while improving the computer security performance by setting two computer login modes: the personal login mode and the other person's login mode, which effectively solves the problem of when the person is not in front of the computer but urgently needs to log in. When knowing certain information inside the computer, others can enter the computer to help obtain relevant information. That is, in the personal login mode, through random question matching, dynamic password matching, face image matching, voice matching and fingerprint matching, and if the matching is successful within three times, the personal login computer identity recognition is successful. Among them, the face image The face image, voice and fingerprint of matching, sound matching and fingerprint matching need to be decrypted through random questions again before they can be matched. Random question matching, dynamic password matching, face image matching, sound matching and fingerprint matching are integrated. Multiple matching verification, at the same time, it is necessary to decrypt the face image, voice and fingerprint before matching, thus reliably improving the security of the computer. That is, in the login mode of others, firstly, the operator’s avatar information and the MAC address of the mobile phone are stored in the database as evidence for later viewing; secondly, the face image QR code and the sound QR code popped up by the computer are scanned by other people’s mobile phones , one or more of fingerprint QR codes, and enter the authorization code for other people’s login in the pop-up box after scanning. If the input authorization code for other people’s login is successfully matched within three times, the identification of the other person’s computer login is successful, thereby improving The security of others logging into the computer.

The above disclosures are only a few specific embodiments of the present invention, and those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention, provided that these modifications and modifications of the present invention belong to the rights of the present invention The present invention also intends to include these modifications and variations within the scope of the requirements and their technical equivalents.

Claims (10)

1. A computer identification system, characterized in that, comprising: a registration module (1), an identification mode selection module (2), an own login subsystem (31), other people's login subsystem (32) and a database (4), And the registration module (1), the personal login subsystem (31) and the others login subsystem (32) are all connected to the database (4); Registration module (1) comprises: basic information registration unit (11), face image data registration unit (12), sound data registration unit (13) and fingerprint data registration unit (14); The basic information registration unit (11) is used to fill in the basic information of the user when the user registers; The face image data registration unit (12) is used for taking pictures to obtain facial images of different angles of the user when the user is registered, performing feature extraction and encrypting the image feature data package according to the regions divided into blocks; The voice data registration unit (13) is used to obtain the user's voice feature information and encrypt the voice feature data packet when the user registers; The fingerprint data registration unit (14) is used to obtain the user's fingerprint feature information and encrypt the fingerprint feature data packet when the user registers; The identification mode selection module (2) is used to select the login mode of the person or the login mode of others on the graphical interface after the computer is turned on; The personal login subsystem (31) includes: an acquisition module (311), a feature extraction module (312) and a matching identification module (313); The collection module (311) includes: a face image data collection unit (311-1), a sound data collection unit (311-2) and a fingerprint data collection unit (311-3); The feature extraction module (312) includes: a face image feature extraction unit (312-1), a sound feature extraction unit (312-2) and a fingerprint feature extraction unit (312-3); The matching identification module (313) includes: a random question matching unit (313-1), a dynamic password matching unit (313-2), a face image matching unit (313-3), a sound matching unit (313-4), Fingerprint matching unit (313-5) and identification unit (313-6); The random question matching unit (313-1) is used to reply the random question raised according to the basic information filled in during registration on the question answering interface, if the answer is correct, the matching is successful, otherwise it fails; The dynamic password matching unit (313-2) is used to fill in the dynamic password received by the mobile phone corresponding to the mobile phone number in the basic information filled in when registering in the dynamic password input interface, if the input is correct, the matching is successful, otherwise it fails; The face image matching unit (313-3) is used to decrypt the image feature data packet after successfully matching through the random question matching unit (313-1) again, and will pass through the face image data acquisition unit (311-1) and the data of the face image feature extraction unit (312-1) are compared with the decrypted image feature data, if the similarity of the comparison result reaches 90%, then the matching is successful, otherwise it fails; The sound matching unit (313-4) is used to decrypt the sound feature data packet after the random question matching unit (313-1) matches successfully again, and pass through the sound data collection unit (311-2) ) and the data of the sound feature extraction unit (312-2) are compared with the decrypted sound feature data, if the similarity of the comparison result reaches 90%, then the matching is successful, otherwise it fails; The fingerprint matching unit (313-5) is used to decrypt the fingerprint feature data packet after the random question matching unit (313-1) matches successfully again, and pass through the fingerprint data collection unit (311-2) ) and the data of the fingerprint feature extraction unit (312-2) are compared with the decrypted fingerprint feature data, if the similarity of the comparison result reaches 90%, then the matching is successful, otherwise it fails; The identification unit (313-6) is used to determine that when the random question, the dynamic password, the face image, the voice and the fingerprint all match successfully within three times, the identity identification of the person logging in to the computer is successful; The other person's login subsystem (32) includes: an authorization code generation module (321), another person's avatar collection module (322), a mobile phone connection authentication module (323), a two-dimensional code generation module (324) and an identification confirmation module (325); In the authorization code generation module (321), when the other person's login mode is selected, the computer sends the other person's login authorization code to the mobile phone of the registered user; The other person's head portrait collection module (322), used to collect other people's head portrait data and store it in the database (4); The mobile phone connection authentication module (323) is used to search other people's mobile phones currently logged in by other people through the WIFI module on the computer, obtain the MAC address of other people's mobile phones and store them in the database (4); The two-dimensional code generation module (324) includes: a face image two-dimensional code generation unit (324-1), a sound two-dimensional code generation unit (324-2) and a fingerprint two-dimensional code generation unit (324-3) ; The human face image two-dimensional code generation unit (324-1), is used for randomly generating the human face image two-dimensional code according to the frame data in the image feature data packet; The sound two-dimensional code generating unit (324-2) is used to randomly generate the sound two-dimensional code according to the frame data in the sound characteristic data packet; The fingerprint two-dimensional code generating unit (324-3) is used to randomly generate the fingerprint two-dimensional code according to the frame data in the fingerprint characteristic data packet; The identification and confirmation module (325) scans one or more of the face image two-dimensional code, sound two-dimensional code, and fingerprint two-dimensional code popped up by the computer through other people's mobile phones, and enters the other person's code in the scanned pop-up box. Login authorization code, if the input authorization code for other people's login matches successfully within three times, then the identity identification of other people's login to the computer is successful. 2. The computer identification system as claimed in claim 1, wherein said basic information includes: name, mobile phone number, ID number, QQ number, school name at each stage, work unit name at each time period, parents, Sibling and friend names. 3. The computer identification system as claimed in claim 1, further comprising: an alarm module (5); When the recognition fails, the computer sends out an alarm signal. 4. The computer identification system according to claim 1, characterized in that, the other person's login subsystem (32) also includes: a monitoring module (326); Monitor the number of people in front of the computer. When the number is greater than one, the computer will turn off the display. 5. The computer identification system according to claim 4, characterized in that, the monitoring module (326) comprises: an infrared monitor and/or a video monitor. 6. The computer identification system according to claim 1, wherein the other person's login subsystem (32) also includes: an access record generation module (327); the access record generation module (327), for The access history path after entering the computer through the other person's login subsystem (32) is packaged and recorded according to time. 7. A computer identification method, characterized in that, comprising: When the user registers, obtain the user's basic information, encrypted image feature data package, encrypted sound feature data package and encrypted fingerprint feature data package; On the graphical interface after the computer is turned on, select the self-login mode or the other-person login mode; When the personal login mode is selected, face image data, voice data and fingerprint data are collected, and feature extraction is performed on the face image data, voice data and fingerprint data; Match random questions, dynamic passwords, face images, voices and fingerprints; When it is judged that random questions, dynamic passwords, face images, voices and fingerprints all match successfully within three times, the identity identification of the person logging in to the computer is successful; When the other person's login mode is selected, the computer sends the other person's login authorization code to the registered user's mobile phone; Collect other people's avatar data and store it in the database; Use the WIFI module on the computer to search for other people's mobile phones that are currently logged in by others, obtain the MAC address of other people's mobile phones and store them in the database; Randomly generate face image QR codes, voice QR codes and fingerprint QR codes; Use someone else's mobile phone to scan one or more of the face image QR code, voice QR code, and fingerprint QR code popped up by the computer, and enter the login authorization code in the pop-up box after scanning. If the authorization code is successfully matched within three times, the identity identification of others logging in to the computer is successful. 8. The computer identification method as claimed in claim 7, wherein when the user registers, obtain the user's basic information, encrypted image feature data package, encrypted sound feature data package and encrypted fingerprint feature data package, specifically include: Fill in the basic information of the user; Take pictures to obtain the user's face images from different angles, perform feature extraction and encrypt the image feature data package after being divided into blocks according to the area; Obtain the user's voice feature information and encrypt the voice feature data packet; Obtain the user's fingerprint feature information and encrypt the fingerprint feature data package. 9. The computer identification method according to claim 7, wherein the matching of random questions, dynamic passwords, face images, voices and fingerprints specifically includes: In the question answering interface, reply to the random question raised according to the basic information filled in during registration. If the answer is correct, the match is successful, otherwise it fails; In the dynamic password input interface, fill in the dynamic password received by the mobile phone corresponding to the mobile phone number in the basic information filled in during registration. If the input is correct, the matching is successful, otherwise it fails; After the random question matching is successful again, the face image feature data package is decrypted, and the face image data after feature extraction is compared with the decrypted image feature data. If the similarity of the comparison result reaches 90%, the match is successful. Otherwise fail; After the random question matching is successful again, the sound feature data packet is decrypted, and the sound data after feature extraction is compared with the decrypted sound feature data. If the similarity of the comparison results reaches 90%, the matching is successful, otherwise it fails; After the random question matching is successful again, the sound feature data packet is decrypted, and the sound data after feature extraction is compared with the decrypted sound feature data. If the similarity of the comparison results reaches 90%, the matching is successful, otherwise it fails. 10. computer identification method as claimed in claim 7, is characterized in that, described random generation facial image two-dimensional code, sound two-dimensional code and fingerprint two-dimensional code specifically comprise: Randomly generate a face image QR code according to the frame data in the image feature data package; Randomly generate a sound QR code according to the frame data in the sound feature data packet; According to the frame data in the fingerprint feature data package, the fingerprint QR code is randomly generated.