CN106709417A - Multimodal biological recognition system and use method thereof - Google Patents
Multimodal biological recognition system and use method thereof Download PDFInfo
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- CN106709417A CN106709417A CN201610995769.0A CN201610995769A CN106709417A CN 106709417 A CN106709417 A CN 106709417A CN 201610995769 A CN201610995769 A CN 201610995769A CN 106709417 A CN106709417 A CN 106709417A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
Abstract
The invention provides a multimodal biological recognition system comprising a front-end acquisition unit, a business system docking layer, a data processing unit and a business system. The front-end acquisition unit comprises a finger vein acquisition module, an iris acquisition module and a face acquisition module. The business system docking layer comprises a C/S framework identity authentication interface and a B/S framework identity authentication interface. The data processing unit comprises a finger vein recognition module, an iris recognition module, a face recognition module, a finger vein feature database, an iris feature database and a face feature database. Biological recognition modal types are arranged in the business system, acquisition of one or multiple types of information of finger veins, irises and faces is performed through the front-end acquisition unit according to the arranged biological recognition modal types and the information is uploaded to the data processing unit through the business system docking layer, and the data processing unit recognizes the information and stores the information in the corresponding feature databases and returns the recognition result to the business system through the business system docking layer. The invention also provides a use method.
Description
Technical field
The invention belongs to the technical field of bio-identification, more particularly to a kind of multimodal Biometrics system, and this
Plant the application method of multimodal Biometrics system.
Background technology
Traditional identity identifying method includes identity article (such as key, certificate, atm card) and identity knowledge
(such as username and password) but due to mainly by external thing, once prove that the marking articles and mark knowledge of identity are stolen or lose
Forget, its identity is easy for being pretended to be or being replaced by other people.
Biological identification technology is more safer than traditional identity identifying method, secrecy and convenience.Living things feature recognition skill
Art tool is difficult forgetting, anti-counterfeiting performance is good, be difficult the advantages of forging or be stolen, " carry " with oneself and can use whenever and wherever possible.
So-called biological identification technology is exactly, by computer and optics, acoustics, biology sensor and biostatistics principle
It is intimately associated etc. high-tech means, using the intrinsic physiological property of human body, (such as fingerprint, face as, iris) and behavioural characteristic is (such as
Person's handwriting, sound, gait etc.) carry out the identification of personal identification.
According to IBG (International Biometric Group, international bio identification group) the statistics knot of 2009
Really, the existing various applications for different physiological characteristics and behavioural characteristic in market.Wherein, occupation rate highest is exactly fingerprint recognition
.Certainly, also some other biometric discrimination method, such as iris recognition, refers to hand vein recognition etc..
But, these biological recognition systems are all single using a kind of biological identification technology, and user characteristics discrimination is not high.
And specific aim is too strong, once user group changes, it is possible that feature recognition fails.For example during fingerprint recognition, meeting
Because some fingerprints the reason such as are smoothed and cause without fingerprint, so as to lead to not identification.
The content of the invention
Technology solve problem of the invention is：Overcome the deficiencies in the prior art, there is provided a kind of multimodal Biometrics system,
It can effectively improve user characteristics discrimination, can be directed to different crowd and set different bio-identification patterns, enable the system to
Enough it is applied to all groups, and unified biological information management, after certain characteristic information is damaged or lacked, other can be enabled
Characteristic information is authenticated.
Technical solution of the invention is：This multimodal Biometrics system, it includes front-end collection unit, business
System docking layer, data processing unit, operation system；
Front-end collection unit includes referring to venous collection module, iris capturing module, face acquisition module；
Operation system docking layer includes C/S framework identities authentication interface, B/S framework identity authentication interfaces；
Data processing unit include referring to hand vein recognition module, iris recognition module, face recognition module,
Refer to vein pattern database, iris characteristic data storehouse, facial feature database；
Operation system sets bio-identification modality type, according to set bio-identification modality type, leads to
Crossing front-end collection unit carries out the collection of one or more information in finger vein, iris, face, leads to
Cross operation system docking layer and be uploaded to data processing unit, data processing unit is identified to information
And corresponding property data base is stored in, and recognition result is returned to by industry by operation system docking layer
Business system.
Bio-identification modality type of the present invention according to set by, finger vein, iris, people are carried out by front-end collection unit
The collection of one or more information in face, docks layer and is uploaded to data processing unit, data processing unit pair by operation system
Information is identified and is stored in corresponding property data base, and recognition result is returned into business system by operation system docking layer
System such that it is able to effectively improve user characteristics discrimination, can be directed to different crowd and set different bio-identification patterns, make be
System can be applied to all groups, and unified biological information management, after the damage of certain characteristic information or missing, can enable
Further feature information is authenticated.
The application method of this multimodal Biometrics system is additionally provided, the method is comprised the following steps：
(1) operation system sets bio-identification modality type；
(2) the bio-identification modality type according to set by, finger vein, iris, face are carried out by front-end collection unit
In one or more information collection；
(3) layer is docked by operation system and is uploaded to data processing unit；
(4) data processing unit is identified to information and is stored in corresponding property data base, and by operation system pair
Connect layer and recognition result is returned into operation system.
Brief description of the drawings
Fig. 1 is the structural representation of multimodal Biometrics system of the invention.
Fig. 2 is the flow chart of the application method of multimodal Biometrics system of the invention.
Specific embodiment
As shown in figure 1, this multimodal Biometrics system, it includes front-end collection unit, operation system docking layer, number
According to processing unit, operation system；
Front-end collection unit includes referring to venous collection module, iris capturing module, face acquisition module；
Operation system docking layer includes C/S framework identities authentication interface, B/S framework identity authentication interfaces；
Data processing unit includes referring to hand vein recognition module, iris recognition module, face recognition module, refers to vein pattern number
According to storehouse, iris characteristic data storehouse, facial feature database；
Operation system sets bio-identification modality type, according to set bio-identification modality type, is adopted by front end
Collection unit carries out the collection of one or more information in finger vein, iris, face, and docking layer by operation system is uploaded to data
Processing unit, data processing unit is identified to information and is stored in corresponding property data base, and is docked by operation system
Recognition result is returned to operation system by layer.
Bio-identification modality type of the present invention according to set by, finger vein, iris, people are carried out by front-end collection unit
The collection of one or more information in face, docks layer and is uploaded to data processing unit, data processing unit pair by operation system
Information is identified and is stored in corresponding property data base, and recognition result is returned into business system by operation system docking layer
System such that it is able to effectively improve user characteristics discrimination, can be directed to different crowd and set different bio-identification patterns, make be
System can be applied to all groups, and unified biological information management, after the damage of certain characteristic information or missing, can enable
Further feature information is authenticated.
In addition, the front-end collection unit also includes identity card read module, the data processing unit also includes association
Module, after front end collecting unit carries out the collection of finger vein, iris, face information, by relating module by these information with
Personal information on identity card is associated.
In addition, the front-end collection unit also includes swiping the card module, its card number for obtaining user and using card number as unique
ID transfers the user and refers to that vein registers sample.
In addition, the operation system docking layer also includes secondary open interface.
In addition, the bio-identification modality type includes：Refer to that hand vein recognition, iris recognition, face information are recognized, refer to vein
Identification+iris recognition, refer to hand vein recognition+iris recognition+recognition of face, swipe the card+refer to hand vein recognition.
As shown in Fig. 2 additionally providing the application method of this multimodal Biometrics system, the method includes following step
Suddenly：
(1) operation system sets bio-identification modality type；
(2) the bio-identification modality type according to set by, finger vein, iris, face are carried out by front-end collection unit
In one or more information collection；
(3) layer is docked by operation system and is uploaded to data processing unit；
(4) data processing unit is identified to information and is stored in corresponding property data base, and by operation system pair
Connect layer and recognition result is returned into operation system.
In addition, the front-end collection unit also includes identity card read module, the data processing unit also includes association
Module, the step (4) is also included, these information are associated with the personal information on identity card by relating module.
In addition, the front-end collection unit also includes module of swiping the card, the step (2) also includes, obtains the card number of user
And using card number as unique ID transfer the user refer to vein register sample.
In addition, refer to that hand vein recognition+iris recognition carries out finger hand vein recognition first for user, after the completion of identification, by unique
ID transfers client iris registration sample and is authenticated with user's collecting sample；Refer to that hand vein recognition+iris recognition+recognition of face is
User carries out finger hand vein recognition first, after the completion of identification, transfers the client iris by unique ID and registers sample and face registration
Sample, then be authenticated；Hand vein recognition of swiping the card+refer to carries out identification of swiping the card first for user, and this is transferred using card number as unique ID
User refers to that vein registers sample, then points out user to carry out fin- ger vein authentication.
Finger vena identification, recognition of face, three kinds of biological identification technologies of iris recognition are integrated in multi-modal life by the system
In thing identifying system, creative combination is carried out to three kinds of biological identification technologies in the application, to solve the body of millions crowd
The accuracy and high efficiency of part certification.
The user identity license stored first in reading identity card information, including personal information and identity card during user's registration
Piece information, while face recognition module in open system, gathers user's face information, the face information that will be collected and user's body
Part card photographic intelligence is compared, after comparison passes through, it is allowed to which user carries out user's registration.
The process is accomplished that user before personal information and biological information registration is carried out, carries out certificate information and shows
The testimony of a witness unification certification of field real person, it is ensured that user steals others' certificate and registered.
Read using identity card after carrying out registering preceding testimony of a witness unification certification to user with reference to face recognition technology, user is entered
The registration of row personal information and biological information, successively registered user's personal information, face information, refer to venous information, iris
Information, preserves identity information, face information, the venous information that refers to, the iris information of user after the completion of registration, in database, this
A little information form the registration sample of user.
When user is identified, user carries out finger vena identification first, after system acquisition user's finger venous information, enters
Row feature extraction forms collecting sample, and the finger vein registration sample of all users in collecting sample and database is carried out into one
One is compared, and hundred-mark system marking result is formed according to the percentage of Feature Points Matching during comparison, is that system output refers to that vein was compared
In journey before score rank 1% user profile, in information comprising user unique ID, client iris information, face information, system
1% user profile forms similar users group before obtaining comparing ranking, and opens iris capturing function, system acquisition client iris letter
After breath, the iris capturing sample that characteristic value forms the user is extracted, and carry out with the iris registration sample of 1% similar users group
Compare, the user of highest scoring is extracted after comparison, system exports to front end service system the user profile, and open face knowledge
Other module, gathering user's face information carries out staying shelves to deposit card, completes multi-modal user's identification.
The program by ID card information reading, recognition of face, iris recognition, refer to hand vein recognition connected applications, not simply
Be applied in combination, but organically combined, analyze the advantage of every kind of biological identification technology, can reach in systems
Optimal application effect.
Certificate photograph is all retained in the various certificate card types such as identity card, social security card, in user's registration, has been known using face
Other technology carries out the certification of testimony of a witness unification to user, can thoroughly solve the problems, such as that falsely using certificate is registered, right on source
User identity legitimacy carries out management and control.
In millions user's application process, single biological identification technology is extremely difficult to 100% discrimination, will refer to quiet
Arteries and veins identification and iris recognition connected applications, have played ease for use, high security, the high speed for referring to hand vein recognition, first to ten million
User carries out primary dcreening operation, retrieves the user of most like 1%, and then uses iris recognition technology, and 1% similar crowd is carried out sternly
The iris recognition of lattice, the user profile after finally output is recognized successfully, makes system identity certification accomplish safe efficient.
Beneficial effects of the present invention are as follows：
System is supported to refer to hand vein recognition, iris recognition, the mcroorganism identification technology of recognition of face three simultaneously；
Finger hand vein recognition is living body biological identification technology, and level of security is high, and discrimination is high, and recognition speed is fast；
Iris recognition safe class is high, and accuracy of identification is high, and algorithm is advanced；
Recognition of face is practical, and user is easily accepted by, while capable of taking pictures stay shelves；
User can select suitable Identity Authentication Mode according to self-demand；
Multimode biometric technology, effectively improves user characteristics discrimination, it is possible to set not for different crowd
Same bio-identification pattern, enables a system to be applied to all groups；
Unified biological information management, after certain characteristic information is damaged or lacked, can enable further feature information and enter
Row certification；
Support the dominant systems platforms such as Windows, Linux；
The reserved unified standard interface of system, with open and autgmentability；
System response time is fast, and Consumer's Experience is succinct；
The above, is only presently preferred embodiments of the present invention, not makees any formal limitation to the present invention, it is every according to
Any simple modification, equivalent variations and the modification made to above example according to technical spirit of the invention, still belong to the present invention
The protection domain of technical scheme.
Claims (9)
1. a kind of multimodal Biometrics system, it is characterised in that：It includes front-end collection unit, operation system docking layer, number
According to processing unit, operation system；
Front-end collection unit includes referring to venous collection module, iris capturing module, face acquisition module；
Operation system docking layer includes C/S framework identities authentication interface, B/S framework identity authentication interfaces；
Data processing unit includes referring to hand vein recognition module, iris recognition module, face recognition module, refers to vein pattern data
Storehouse, iris characteristic data storehouse, facial feature database；
Operation system sets bio-identification modality type, according to set bio-identification modality type,
The collection of one or more information in finger vein, iris, face is carried out by front-end collection unit, by operation system pair
Connect layer and be uploaded to data processing unit, data processing unit is identified to information and is stored in corresponding property data base, and leads to
Cross operation system docking layer and recognition result is returned into operation system.
2. multimodal Biometrics system according to claim 1, it is characterised in that：The front-end collection unit also includes
Identity card read module, the data processing unit also include relating module, when front end collecting unit carry out finger vein, iris,
After the collection of face information, these information are associated with the personal information on identity card by relating module.
3. multimodal Biometrics system according to claim 2, it is characterised in that：The front-end collection unit also includes
Swipe the card module, card number is simultaneously transferred the user and refer to that vein registers sample by its card number for obtaining user as unique ID.
4. multimodal Biometrics system according to claim 3, it is characterised in that：The operation system docking layer is also wrapped
Include secondary open interface.
5. multimodal Biometrics system according to claim 4, it is characterised in that：The bio-identification modality type bag
Include：Refer to hand vein recognition, iris recognition, face information identification, refer to hand vein recognition+iris recognition, refer to hand vein recognition+iris recognition+
Recognition of face, swipe the card+refer to hand vein recognition.
6. a kind of application method of multimodal Biometrics system according to claim 1, it is characterised in that：The method bag
Include following steps：
(1) operation system sets bio-identification modality type；
(2) the bio-identification modality type according to set by, is carried out one in finger vein, iris, face by front-end collection unit
The collection of kind or several information；
(3) layer is docked by operation system and is uploaded to data processing unit；
(4) data processing unit is identified to information and is stored in corresponding property data base, and docks layer by operation system
Recognition result is returned into operation system.
7. application method according to claim 6, it is characterised in that：The front-end collection unit also reads including identity card
Module, the data processing unit also includes relating module, and the step (4) also includes, by relating module by these information
It is associated with the personal information on identity card.
8. application method according to claim 7, it is characterised in that：The front-end collection unit also includes module of swiping the card,
The step (2) also includes, obtains the card number of user and card number is transferred into the user as unique ID and refer to that vein registers sample.
9. application method according to claim 8, it is characterised in that：Refer to hand vein recognition+iris recognition for user enters first
Row refers to hand vein recognition, after the completion of identification, transfers client iris registration sample by unique ID and is recognized with user's collecting sample
Card；Refer to hand vein recognition+iris recognition+recognition of face for user carries out finger hand vein recognition first, after the completion of identification, by unique ID
Client iris registration sample and face registration sample are transferred, then is authenticated；Hand vein recognition of swiping the card+refer to is carried out first for user
Swipe the card identification, card number is transferred into the user as unique ID refers to that vein registers sample, then points out user to carry out fin- ger vein authentication.
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Cited By (10)
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| CN107506721A (en) * | 2017-08-18 | 2017-12-22 | 上海爱优威软件开发有限公司 | A kind of more method for collecting iris and system |
| CN108596814A (en) * | 2018-04-20 | 2018-09-28 | 聊城农村商业银行股份有限公司 | Social security Verification System based on recognition of face |
| CN109190445A (en) * | 2018-07-03 | 2019-01-11 | 盐城线尚天使科技企业孵化器有限公司 | Application method and system based on multimode biometric technology under social security system |
| WO2019024718A1 (en) * | 2017-07-29 | 2019-02-07 | Oppo广东移动通信有限公司 | Anti-counterfeiting processing method, anti-counterfeiting processing apparatus and electronic device |
| CN109886001A (en) * | 2019-02-18 | 2019-06-14 | 天津麒麟信息技术有限公司 | A kind of living things feature recognition framework services for supporting multi-biometric feature recognition technology |
| CN110263769A (en) * | 2019-07-19 | 2019-09-20 | 广东工业大学 | A kind of identity information acquisition method and equipment |
| CN111723595A (en) * | 2019-03-18 | 2020-09-29 | 北京曙光易通技术有限公司 | Personnel identity identification method and system |
| CN111914288A (en) * | 2020-07-09 | 2020-11-10 | 上海红阵信息科技有限公司 | Multi-service analysis processing management system based on biological characteristics |
| CN112307451A (en) * | 2019-07-31 | 2021-02-02 | 华为技术有限公司 | Multi-mode identity recognition method and equipment |
| CN113094681A (en) * | 2021-04-09 | 2021-07-09 | 广东电网有限责任公司 | Identity recognition method, system, equipment and storage medium |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2019024718A1 (en) * | 2017-07-29 | 2019-02-07 | Oppo广东移动通信有限公司 | Anti-counterfeiting processing method, anti-counterfeiting processing apparatus and electronic device |
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| CN107506721A (en) * | 2017-08-18 | 2017-12-22 | 上海爱优威软件开发有限公司 | A kind of more method for collecting iris and system |
| CN108596814A (en) * | 2018-04-20 | 2018-09-28 | 聊城农村商业银行股份有限公司 | Social security Verification System based on recognition of face |
| CN109190445A (en) * | 2018-07-03 | 2019-01-11 | 盐城线尚天使科技企业孵化器有限公司 | Application method and system based on multimode biometric technology under social security system |
| CN109886001A (en) * | 2019-02-18 | 2019-06-14 | 天津麒麟信息技术有限公司 | A kind of living things feature recognition framework services for supporting multi-biometric feature recognition technology |
| CN111723595A (en) * | 2019-03-18 | 2020-09-29 | 北京曙光易通技术有限公司 | Personnel identity identification method and system |
| CN110263769A (en) * | 2019-07-19 | 2019-09-20 | 广东工业大学 | A kind of identity information acquisition method and equipment |
| CN112307451A (en) * | 2019-07-31 | 2021-02-02 | 华为技术有限公司 | Multi-mode identity recognition method and equipment |
| CN111914288A (en) * | 2020-07-09 | 2020-11-10 | 上海红阵信息科技有限公司 | Multi-service analysis processing management system based on biological characteristics |
| CN113094681A (en) * | 2021-04-09 | 2021-07-09 | 广东电网有限责任公司 | Identity recognition method, system, equipment and storage medium |
| CN113094681B (en) * | 2021-04-09 | 2023-02-21 | 广东电网有限责任公司 | Identity recognition method, system, equipment and storage medium |
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