CN110491003A - One kind verifying visitor's terminal based on the recognition of face testimony of a witness - Google Patents
One kind verifying visitor's terminal based on the recognition of face testimony of a witness Download PDFInfo
- Publication number
- CN110491003A CN110491003A CN201910734897.3A CN201910734897A CN110491003A CN 110491003 A CN110491003 A CN 110491003A CN 201910734897 A CN201910734897 A CN 201910734897A CN 110491003 A CN110491003 A CN 110491003A
- Authority
- CN
- China
- Prior art keywords
- image
- identity card
- module
- card
- subgraph
- 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.)
- Withdrawn
Links
Landscapes
- Collating Specific Patterns (AREA)
Abstract
The present invention discloses a kind of based on recognition of face testimony of a witness verification visitor's terminal, including video capture module, identity card identification module, face characteristic extraction module, matching degree analysis module, characteristic storage server and information publication and pushing module；Video capture module is connect with face characteristic extraction module, and respectively with face characteristic extraction module, matching degree analysis module and connection, matching degree analysis module connect with characteristic storage server and information publication with pushing module identity card identification module respectively.The image that the present invention passes through acquisition visitor personnel, and the identity card of visitor personnel will be scanned and recognized, Characteristic Contrast is carried out to personnel's image of the image on identity card and acquisition, determine whether visitor personnel meet with image on identity card, and identify the identity of visitor personnel, have the characteristics that the accuracy of identification is high and treatment effeciency is high, it is ensured that the true identity of visitor improves safety.
Description
Technical field
The invention belongs to testimony of a witness verification technique fields, are related to a kind of based on recognition of face testimony of a witness verification visitor's terminal.
Background technique
Security engineering refers to for safeguarding alarm for the purpose of social public security and disaster prevention accident, TV prison
The engineerings such as control, communication, access control, explosion-proof, safety inspection, safety technological guard is as social public security science and technology
One branch.
Whether traditional artificial visiting registration veritifies holder and identity card using artificial eye by security personnel
Unanimously, audited and had the following problems altogether using people: first is that manual operation factor there are loophole and also accuracy rate it is not high, second is that without note
Record is retained and can be looked into, and above-mentioned two deficiency is emitted user's opportunity, while efficiency is also very poor.
Summary of the invention
The purpose of the present invention is to provide one kind be based on the recognition of face testimony of a witness verify visitor's terminal, by collector
Image is compared with ID Card Image, determines whether visitor personnel coincide with image on identity card, is solved in the prior art
The problem of accuracy difference and low efficiency of existing manual examination and verification.
The purpose of the present invention can be achieved through the following technical solutions:
One kind verifying visitor's terminal, including video capture module, identity card identification module, face based on the recognition of face testimony of a witness
Characteristic extracting module, matching degree analysis module, characteristic storage server and information publication and pushing module；
Described image is captured module and is connect with face characteristic extraction module, and identity card identification module is mentioned with face characteristic respectively
Modulus block, matching degree analysis module and connection, matching degree analysis module are issued and are pushed away with characteristic storage server and information respectively
Module is sent to connect；
Described image captures module for being mounted at gate inhibition's gate, for acquiring the image of visitor personnel at gate in real time
Information, and personnel's image of acquisition is sent to face characteristic extraction module；
The identity card identification module extracts the identity of visitor personnel for being scanned to the identity card of visitor personnel
Card number and ID Card Image, the ID Card Image of extraction are sent to face characteristic extraction module, will extract identity card number
It is respectively sent to matching degree analysis module and visitor's accumulation module；
The face characteristic extraction module is used to receive the image of the collector of video capture module transmission, and receives body
The ID Card Image that part card identification module is sent, the image of received personnel is extracted, to extract the face in personnel's image
Portion's image is amplified to same size to the face image in the face image and ID Card Image of extraction, to the face of same size
Face image in portion's image and ID Card Image is divided, and several subgraphs are divided into, respectively to each subgraph according to
Sequence from left to right and from top to bottom is ranked up, and respectively 1,2 ..., i ..., m will acquire the figure of the face in image
As corresponding each subgraph progress feature extraction, and the feature of the corresponding each subgraph of the face image of extraction is sent to matching
Spend analysis module；
The characteristic storage server includes blacklist storage unit and characteristic storing unit, and blacklist storage unit is used for
List, ID Card Image and the identity card number of all personnel that pipe off is stored, characteristic storing unit is for storing institute
Have that the identity card of personnel is numbered and identity card numbers corresponding ID Card Image, and if storing ID Card Image and being divided into
Dry identity card subgraph, the corresponding feature of each identity card subgraph, to the identification card number and ID Card Image of blacklist personnel
Feature is marked；
The matching degree analysis module is used to receive the corresponding identity card number of identity card of identity card identification module transmission,
Identity card is numbered right one by one with the number progress of the identity card of the blacklist personnel stored in characteristic storage server based on the received
Than showing that collector is non-blacklist if identity card number and the identity card number of all blacklist personnel are all different
Personnel, and compared according to identity card number and the identity card number of all personnel, filter out identity card number phase one therewith
The identity card of cause numbers corresponding ID Card Image, and extracts the corresponding feature of each identity card subgraph in the ID Card Image；
Matching degree analysis module receives the corresponding each son of facial image in the acquisition image that face characteristic extracting module is sent
The feature of image, and the corresponding feature of subgraph each in received acquisition facial image is numbered into the body filtered out with through identity card
The corresponding feature of each identity card subgraph in part card image, and by the corresponding feature of the subgraph of each number under identical number
The corresponding feature of identity card subgraph is compared one by one, obtains subgraph Characteristic Contrast set Wi(wi1,wi2,...,
wij,....,wiQ), wiJ is expressed as in acquisition facial image j-th of feature and i-th of identity card subgraph in i-th of subgraph
In j-th of feature comparative situation, if j-th of feature and i-th of identity card subgraph in i-th of subgraph in acquisition facial image
J-th of feature is consistent as in, then takes wiJ is equal to fixed value p, p > 1, conversely, then taking wiJ is equal to 1；
According to each subgraph Characteristic Contrast set Wi, i=1,2 ..., m, statistical nature goodness of fit coefficients R kisses feature
Right coefficients R and the goodness of fit coefficient threshold of setting compare, if being less than the goodness of fit coefficient threshold of setting, show the people
Member's image is corresponding with identity card inconsistent, i.e., non-same people, then it is different from the acquisition personal information of image to send ID card information
Then show personnel's image and identity card phase one to information publication and pushing module if more than the goodness of fit coefficient threshold of setting
It causes, i.e. personnel on identity card and the personnel of acquisition image are same people, then send ID card information and acquire the personnel of image
Information is identical to information publication and pushing module；
The information publication is used to receive the ID card information and acquisition figure of matching degree analysis module transmission with pushing module
Whether the personal information of picture identical, and based on the received ID card information and acquisition image personal information whether same issue body
Part whether exception information and abnormal identity information is sent to monitoring management terminal.
Further, the feature goodness of fit coefficientwiJ is expressed as acquisition face
In image in i-th of subgraph j-th feature and j-th of feature in i-th of identity card subgraph comparative situation, wi' j is indicated
It is equal to 1 w for valueij。
Further, visitor's accumulation module is used to receive the identity card number of identity card identification module transmission, every knowledge
Not Fa Song identity card number, the number that accumulative identity card numbers corresponding visitor adds 1 time, and each identity card that will be accumulative is compiled
Number corresponding visitor's number is sent to information publication and pushing module.
Further, the information publication is corresponding with the identity card number that pushing module receives the transmission of visitor's accumulation module
Visitor's number, and visitor's number is sent to monitoring management terminal, for being shown.
Beneficial effects of the present invention:
It is provided by the invention a kind of based on recognition of face testimony of a witness verification visitor's terminal, by acquiring the image of visitor personnel,
And the identity card of visitor personnel will be scanned and recognized, feature pair is carried out to personnel's image of the image on identity card and acquisition
Than, determine whether visitor personnel meet with image on identity card, and identify the identity of visitor personnel, it is accurate with identification
Property high and high treatment effeciency feature, it is ensured that the true identity of visitor improves safety.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram that visitor's terminal is verified based on the recognition of face testimony of a witness in the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, a kind of verify visitor's terminal, including video capture module, identity based on the recognition of face testimony of a witness
Demonstrate,prove identification module, face characteristic extraction module, matching degree analysis module, characteristic storage server, visitor's accumulation module and information
Publication and pushing module；
Video capture module is connect with face characteristic extraction module, and identity card identification module extracts mould with face characteristic respectively
Block, matching degree analysis module are connected with visitor's accumulation module, matching degree analysis module respectively with characteristic storage server and information
Publication is connect with pushing module, and information publication is connect with pushing module with visitor's accumulation module.
Video capture module for being mounted at gate inhibition's gate, believe by the image for acquiring visitor personnel at gate in real time
Breath, and personnel's image of acquisition is sent to face characteristic extraction module；
Identity card identification module is for being scanned the identity card of visitor personnel, and the identity card for extracting visitor personnel is compiled
Number and ID Card Image, the ID Card Image of extraction be sent to face characteristic extraction module, by extract identity card number difference
It is sent to matching degree analysis module and visitor's accumulation module；
Face characteristic extraction module is used to receive the image of the collector of video capture module transmission, and receives identity card
The ID Card Image that identification module is sent, the image of received personnel is extracted, to extract the figure of the face in personnel's image
Picture is amplified to same size to the face image in the face image and ID Card Image of extraction, schemes to the face of same size
As and ID Card Image in face image divided, several subgraphs are divided into, respectively to each subgraph according to from a left side
It is ranked up to sequence right and from top to bottom, respectively 1,2 ..., i ..., m will acquire the face image pair in image
Each subgraph answered carries out feature extraction, and the feature of the corresponding each subgraph of the face image of extraction is sent to matching degree point
Analyse module；
Characteristic storage server includes blacklist storage unit and characteristic storing unit, and blacklist storage unit is for storing
List, ID Card Image and the identity card number of all personnel that pipe off, characteristic storing unit is for storing owner
The identity card number and identity card of member numbers corresponding ID Card Image, and stores ID Card Image and be divided into several bodies
Part card subgraph, the corresponding feature of each identity card subgraph, identification card number and ID Card Image feature to blacklist personnel
It is marked, wherein be communicatively coupled in the storing data library of characteristic storage server and public security bureau；
Matching degree analysis module is used to receive the corresponding identity card number of identity card of identity card identification module transmission, according to
Received identity card number and the identity card number of the blacklist personnel stored in characteristic storage server are compared one by one, if
Identity card is numbered to be all different with the identity card of all blacklist personnel number, then shows that collector is non-blacklist personnel,
And compared according to identity card number and the identity card number of all personnel, it filters out identity card therewith and numbers consistent body
Part card numbers corresponding ID Card Image, and extracts the corresponding feature of each identity card subgraph in the ID Card Image；
Matching degree analysis module receives the corresponding each son of facial image in the acquisition image that face characteristic extracting module is sent
The feature of image, and the corresponding feature of subgraph each in received acquisition facial image is numbered into the body filtered out with through identity card
The corresponding feature of each identity card subgraph in part card image, and by the corresponding feature of the subgraph of each number under identical number
The corresponding feature of identity card subgraph is compared one by one, obtains subgraph Characteristic Contrast set Wi(wi1,wi2,...,
wij,....,wiQ), wiJ is expressed as in acquisition facial image j-th of feature and i-th of identity card subgraph in i-th of subgraph
In j-th of feature comparative situation, if j-th of feature and i-th of identity card subgraph in i-th of subgraph in acquisition facial image
J-th of feature is consistent as in, then takes wiJ is equal to fixed value p, p > 1, conversely, then taking wiJ is equal to 1；
According to each subgraph Characteristic Contrast set Wi, i=1,2 ..., m, statistical nature goodness of fit coefficientwiJ is expressed as in acquisition facial image j-th of feature and i-th in i-th of subgraph
The comparative situation of j-th of feature, w in a identity card subgraphi' j is expressed as the w that value is equal to 1iJ, by feature goodness of fit coefficients R
Compared with the goodness of fit coefficient threshold of setting, if be less than setting goodness of fit coefficient threshold, show personnel's image with
Identity card corresponds to inconsistent, i.e., non-same people, then personal information difference to the information for sending ID card information and acquisition image is sent out
Cloth and pushing module then show that personnel's image is consistent with identity card, i.e. identity if more than the goodness of fit coefficient threshold of setting
The personnel of personnel and acquisition image on card are same people, then send ID card information and the acquisition personal information of image is identical extremely
Information publication and pushing module.
Visitor's accumulation module is used to receive the identity card number of identity card identification module transmission, and every identification sends an identity
Card number, the number that accumulative identity card numbers corresponding visitor add 1 time, and accumulative each identity card is numbered corresponding visitor time
Number is sent to information publication and pushing module.
Information publication is used to receive the ID card information and acquisition image of matching degree analysis module transmission with pushing module
Whether personal information identical, and based on the received ID card information with acquisition image personal information whether same issue identity is
Abnormal identity information is simultaneously sent to monitoring management terminal by no exception information, intuitively understands disengaging lock convenient for backstage manager
Whether the personnel identity of machine is abnormal, and the identity card for receiving the transmission of visitor's accumulation module numbers corresponding visitor's number, and will
Visitor's number is sent to monitoring management terminal, wherein monitoring management terminal is computer, for receiving information publication and pushing module
The information of transmission is simultaneously shown.
The above content is just an example and description of the concept of the present invention, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or is substituted in a similar manner, without departing from invention
Design or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (4)
1. one kind verifies visitor's terminal based on the recognition of face testimony of a witness, it is characterised in that: including video capture module, identity card identification
Module, face characteristic extraction module, matching degree analysis module, characteristic storage server and information publication and pushing module；
Described image is captured module and is connect with face characteristic extraction module, and identity card identification module extracts mould with face characteristic respectively
Block, matching degree analysis module and connection, matching degree analysis module are issued and push mould respectively with characteristic storage server and information
Block connection；
Described image captures module for being mounted at gate inhibition's gate, and the image for acquiring visitor personnel at gate in real time is believed
Breath, and personnel's image of acquisition is sent to face characteristic extraction module；
The identity card identification module is for being scanned the identity card of visitor personnel, and the identity card for extracting visitor personnel is compiled
Number and ID Card Image, the ID Card Image of extraction be sent to face characteristic extraction module, by extract identity card number difference
It is sent to matching degree analysis module and visitor's accumulation module；
The face characteristic extraction module is used to receive the image of the collector of video capture module transmission, and receives identity card
The ID Card Image that identification module is sent, the image of received personnel is extracted, to extract the figure of the face in personnel's image
Picture is amplified to same size to the face image in the face image and ID Card Image of extraction, schemes to the face of same size
As and ID Card Image in face image divided, several subgraphs are divided into, respectively to each subgraph according to from a left side
It is ranked up to sequence right and from top to bottom, respectively 1,2 ..., i ..., m will acquire the face image pair in image
Each subgraph answered carries out feature extraction, and the feature of the corresponding each subgraph of the face image of extraction is sent to matching degree point
Analyse module；
The characteristic storage server includes blacklist storage unit and characteristic storing unit, and blacklist storage unit is for storing
List, ID Card Image and the identity card number of all personnel that pipe off, characteristic storing unit is for storing owner
The identity card number and identity card of member numbers corresponding ID Card Image, and stores ID Card Image and be divided into several bodies
Part card subgraph, the corresponding feature of each identity card subgraph, identification card number and ID Card Image feature to blacklist personnel
It is marked；
The matching degree analysis module is used to receive the corresponding identity card number of identity card of identity card identification module transmission, according to
Received identity card number and the identity card number of the blacklist personnel stored in characteristic storage server are compared one by one, if
Identity card is numbered to be all different with the identity card of all blacklist personnel number, then shows that collector is non-blacklist personnel,
And compared according to identity card number and the identity card number of all personnel, it filters out identity card therewith and numbers consistent body
Part card numbers corresponding ID Card Image, and extracts the corresponding feature of each identity card subgraph in the ID Card Image；
Matching degree analysis module receives the corresponding each subgraph of facial image in the acquisition image that face characteristic extracting module is sent
Feature, and the corresponding feature of each subgraph with through identity card will number the identity card filtered out in received acquisition facial image
The corresponding feature of each identity card subgraph in image, and by the corresponding feature of the subgraph of each number and the identity under identical number
The corresponding feature of card subgraph is compared one by one, obtains subgraph Characteristic Contrast set Wi(wi1,wi2,...,wij,....,
wiQ), wiJ is expressed as in acquisition facial image j-th of feature and j-th of spy in i-th of identity card subgraph in i-th of subgraph
The comparative situation of sign, if in acquisition facial image in i-th of subgraph j-th of feature with j-th in i-th of identity card subgraph
Feature is consistent, then takes wiJ is equal to fixed value p, p > 1, conversely, then taking wiJ is equal to 1；
According to each subgraph Characteristic Contrast set Wi, i=1,2 ..., m, statistical nature goodness of fit coefficients R, by feature goodness of fit system
Number R and the goodness of fit coefficient threshold of setting compare, if being less than the goodness of fit coefficient threshold of setting, show personnel's image
Corresponding with identity card inconsistent, i.e., non-same people then sends ID card information and acquires the personal information difference of image to information
Publication and pushing module if more than the goodness of fit coefficient threshold of setting then show that personnel's image is consistent with identity card, i.e. body
The personnel of personnel and acquisition image on part card are same people, then it is identical as the personal information of image is acquired to send ID card information
To information publication and pushing module；
The information publication is used to receive the ID card information and acquisition image of matching degree analysis module transmission with pushing module
Whether personal information identical, and based on the received ID card information with acquisition image personal information whether same issue identity is
Abnormal identity information is simultaneously sent to monitoring management terminal by no exception information.
2. according to claim 1 a kind of based on recognition of face testimony of a witness verification visitor's terminal, it is characterised in that: the feature
Goodness of fit coefficientwiJ is expressed as in acquisition facial image j-th in i-th of subgraph
The comparative situation of feature and j-th of feature in i-th of identity card subgraph, wi' j is expressed as the w that value is equal to 1ij。
3. according to claim 1 a kind of based on recognition of face testimony of a witness verification visitor's terminal, it is characterised in that: the visitor
Accumulation module is used to receive the identity card number of identity card identification module transmission, and every identification sends an identity card number, adds up
The number that identity card numbers corresponding visitor adds 1 time, and accumulative each identity card is numbered corresponding visitor's number and is sent to letter
Breath publication and pushing module.
4. according to claim 1 a kind of based on recognition of face testimony of a witness verification visitor's terminal, it is characterised in that: the information
Visitor's number corresponding with the identity card number that pushing module receives the transmission of visitor's accumulation module is issued, and visitor's number is sent out
It send to monitoring management terminal, for being shown.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910734897.3A CN110491003A (en) | 2019-08-09 | 2019-08-09 | One kind verifying visitor's terminal based on the recognition of face testimony of a witness |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910734897.3A CN110491003A (en) | 2019-08-09 | 2019-08-09 | One kind verifying visitor's terminal based on the recognition of face testimony of a witness |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110491003A true CN110491003A (en) | 2019-11-22 |
Family
ID=68550355
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910734897.3A Withdrawn CN110491003A (en) | 2019-08-09 | 2019-08-09 | One kind verifying visitor's terminal based on the recognition of face testimony of a witness |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110491003A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115830722A (en) * | 2023-02-20 | 2023-03-21 | 广州市森锐科技股份有限公司 | Living body identification people and certificate comparison method |
-
2019
- 2019-08-09 CN CN201910734897.3A patent/CN110491003A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115830722A (en) * | 2023-02-20 | 2023-03-21 | 广州市森锐科技股份有限公司 | Living body identification people and certificate comparison method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101430803B (en) | Entering and leaving management system | |
| CN109299683A (en) | A kind of security protection assessment system based on recognition of face and behavior big data | |
| CN101976356A (en) | Face identification method for surfing identification policy, and identification system thereof | |
| US20210357624A1 (en) | Information processing method and device, and storage medium | |
| CN205354056U (en) | Law enforcement record appearance with face identification | |
| CN102930243A (en) | Method and system for identifying facial information of special personnel | |
| CN107403165B (en) | Data management architecture of intelligent face recognition system and use method | |
| CN101751562B (en) | Bank transaction image forensic acquiring method based on face recognition | |
| CN108711208A (en) | A kind of big data access control system and its management method | |
| CN108537304A (en) | A kind of method and system that the testimony of a witness is veritified | |
| CN105095831A (en) | Face recognition method, device and system | |
| CN106951846A (en) | A kind of face 3D models typing and recognition methods and device | |
| CN107609515B (en) | Double-verification face comparison system and method based on Feiteng platform | |
| CN108830230A (en) | Identity checking method, identity veritify management system and equipment | |
| CN108090469A (en) | A kind of video and image face identification system | |
| CN102456130A (en) | Method and system for verifying user identity document by face | |
| CN102332119A (en) | Certificate recognition system | |
| CN106296949B (en) | A kind of access control system and method based on H264 video decoding techniques | |
| Thakur et al. | Wireless Fingerprint Based Security System Using ZigBee Technology | |
| CN109102612A (en) | A kind of campus security management method and system | |
| CN202815870U (en) | Certificate photograph and face automatic identification system | |
| CN112560683A (en) | Method and device for identifying copied image, computer equipment and storage medium | |
| CN207198948U (en) | A kind of intelligent robot entrance guard device | |
| CN109800638A (en) | A kind of emphasis people's monitoring method based on face recognition technology | |
| CN110544333B (en) | Access control system and control method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20191108 Address after: 236000 workshop 1-3, a-6, industrial investment Fuyang small and medium enterprise park, No. 16, Hefei Avenue, Fuyang modern industrial park, Yingzhou District, Fuyang City, Anhui Province Applicant after: Anhui Yun Kang intelligent Polytron Technologies Inc Address before: Room 408, R & D building C-1, Hefei Innovation Industrial Park, No. 800, Wangjiang West Road, Hefei high tech Development Zone, Hefei City, Anhui Province, 230000 Applicant before: Anhui Shixu Intelligent Technology Co., Ltd. |
|
| TA01 | Transfer of patent application right | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20191122 |
|
| WW01 | Invention patent application withdrawn after publication |