CN201845368U - Human face and fingerprint access control with living body detection function - Google Patents
Human face and fingerprint access control with living body detection function Download PDFInfo
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- CN201845368U CN201845368U CN2010205384556U CN201020538455U CN201845368U CN 201845368 U CN201845368 U CN 201845368U CN 2010205384556 U CN2010205384556 U CN 2010205384556U CN 201020538455 U CN201020538455 U CN 201020538455U CN 201845368 U CN201845368 U CN 201845368U
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Abstract
The utility model relates to a human face and fingerprint access control with living body detection function, which comprises an image acquisition module, an portrait living body detection module, a fingerprint acquisition module, a fingerprint living body detection module, a template storage unit, a characteristic comparison unit, an access control unit, a storage module, a display module and an expansion unit. The utility model can detect human face and fingerprint, has human face and fingerprint living body detection function, prevents thieves from stealing human face and fingerprint information to illegally pass through the access control, and enhances the security of the access control.
Description
Technical field
The utility model belongs to biometrics identification technology, relates in particular to people's face fingerprint access control that the band live body detects.
Background technology
Identification becomes more and more important in modern society, and it is a kind of important safeguard procedures of protecting information security, property safety, personal safety etc., almost relates to everyone daily life.Along with science and technology development, the particularly fast development of computing machine, mechanics of communication, increasing reliability height, the identity recognizing technology that identification is convenient, function is complicated emerge in large numbers in succession.From traditional mechanical type key, password password, to living things feature recognition, the identity recognizing technology development security, operability, intelligently all improves a lot rapidly, but also exists the limitation of many application simultaneously.Existence such as authentication loses, stolen, situation such as forget, cause for the legal identity user normally to authenticate identification, blindly discern for illegal possessor and pass through, bring security threat.
The identification that is applied as that the traditional identity recognition method adds biometrics identification technology has certain advantage, the advantage of complementary tradition and modern technologies, but every kind of recognition method inherent shortcoming also, so still exist some shortcomings.Can't satisfy the requirement of information age as the technology of encrypting fingerprint sign indicating number, in actual life, the cipher memory problem is an a lot of burden, and password often becomes link the weakest in the information security.The applying biological feature identification technique, solution is forgotten memory cipher or is avoided carrying the problem of key, also to satisfy simultaneously living things feature recognition and be easy to problem, the advantage of performance biometrics identification technology uniqueness, efficient, security, avoid various living things feature recognitions to use limitation, being the development trend of biometrics identification technology, also is the developing direction of identity recognizing technology.
Especially, at some privileged places, as places such as bank vault, prison, privacy mechanisms, security protection requires high, and the important area that enters above-mentioned place need be through strict identification, authentication.Traditional mechanical type key, password code mode can not satisfy the security protection requirement of these occasions, and adopting living things feature recognition is the important channel that addresses this problem.
Prior biological recognition technology such as fingerprint, people's face etc. have higher degree of accuracy, and can avoid the stolen situation of identity to take place to a certain extent.But the crime one's share of expenses for a joint undertaking still has gap to bore.Such as, photo by usurping validated user is with the checking by face recognition technology, perhaps means (as cutting hand etc.) are obtained the fingerprint of validated user with the checking by fingerprint identification technology by force, the safety such as places such as bank vault, privacy mechanisms in these potential dangerous serious threats, and existing common living things feature recognition product can not satisfy the demand of these occasions.
Summary of the invention
At the problems referred to above, the utility model provides a kind of people's face fingerprint access control with the live body detection, avoids using the generation of usurping biological characteristic validation information passage situation, improves gate inhibition's security.
For achieving the above object, the technical scheme that the utility model is taked is: a kind of people's face fingerprint access control with the live body detection comprises image collection module, portrait live body detection module, finger print acquisition module, fingerprint live body detection module, template storage unit, feature comparing unit, gate inhibition's control module, memory module, display module, expanding element.
Image collection module, the object that is primarily aimed at are facial image, it be obtain with facial image and with facial image relevant image information units, adopt camera that the monitored object that is subjected to by the gate inhibition is taken.
Portrait live body detection module comprises people's face portion physical motion detection sub-module, people's face portion physiological movement detection sub-module.People's face portion physical motion detection sub-module, the physiological movement detection sub-module testing process summary of people's face portion are: lock people's face in the camera angle, determine people's moving region and direction of motion; Judge and whether to have effective people's face portion physical motion in the locking human face region; Judge whether the motion of people's face portion is physiological movement.
Finger print acquisition module, at object be fingerprint, gather finger print information.
It is except that gathering fingerprint image that fingerprint live body detection module, the live body of fingerprint detect, and repeatedly makes tested fingerprint generation deformation, record deformation result's detection mould.
Template storage unit is meant the unit of storing the fingerprint live body detection model of setting up.So-called fingerprint live body detection model is meant, carry out registration according to fingerprint sequence before and after the fingerprint distortion, choose character pair point as right with reference to the reference point of model, adopt improved model to describe the distortion of fingerprint, the calculated fingerprint distortion makes up fingerprint deformation space flexional vector at the strain energy of distortion of all directions, trains on true and false fingerprint base, obtain the flexional vector space and distribute, thereby form the final reference model that the fingerprint live body detects.When band detection fingerprint enters the live body detection-phase, compare, calculate target deformation time space energy vector to be measured with reference model, the reference threshold that comparison is set, thus determine whether target to be measured is that live body is examined target.
The feature comparing unit is the biological information that will collect, and comprises that the storage data in people's face, finger print information and the database are compared, and by the threshold criteria of setting that meets, determines whether comparison result meets.Especially,, need satisfy the portrait aspect ratio simultaneously, be considered as the portrait comparison and meet meeting and portrait live body feature detection meets two results for figure information comparison; For fingerprint detection comparison in like manner, need satisfy the fingerprint image characteristics comparison simultaneously and meet with fingerprint live body feature detection and meet, be considered as fingerprint comparison and meet; As same detected object, must satisfy portrait comparison and fingerprint comparison simultaneously and meet, it is legal to be considered as the detected object identity, and the gate inhibition is passed through in operation.If have arbitrary image comparison or live body aspect ratio to occur being inconsistent situation, will be considered as illegal object for portrait, fingerprint, no thoroughfare gate inhibition prevents from dangerously further to enlarge.
Gate inhibition's control module, the unit that passes through of control detected object, its course of work is, according to the comparison result of feature comparing unit, when detected object is legal, allows to pass through, when detected object was illegal, no through traffic.
Memory module, storage user of service's people's face, finger print information store a large amount of facial image data and fingerprint image data, and connect each other with template storage unit, share fingerprint live body detection model in the template storage unit.
Display module adopts LCD Panel, is used for showing gathering detected object people face, finger print information, and live body detects information, testing result, and the demonstration of information warning.
Expanding element comprises support standard RS232, RS485 serial port circuit, the network interface circuit of support standard ICP/IP protocol, other expanded circuits.
Described template storage unit stores fingerprint live body detection model and portrait live body detection model.
Described fingerprint live body detection module comprises fingerprint physical motion detection sub-module, fingerprint deformation detection sub-module.
The beneficial effects of the utility model are:
Not only can discern the legitimacy of biological information to be detected, also have biological characteristic live body measuring ability simultaneously.Effectively avoided forgery, usurped people's face, finger print identifying information is attempted the generation by gate inhibition's phenomenon, has guaranteed gate inhibition's security, reliability.
Description of drawings
Fig. 1 is a kind of people's face fingerprint access control synoptic diagram with the live body detection.
Fig. 2 is a live body testing process flow diagram.
Wherein, 1, a kind of people's face fingerprint access control that detects with live body,
1001, image collection module,
1002, portrait live body detection module,
1003, finger print acquisition module,
1004, fingerprint live body detection module,
1005, template storage unit,
1006, feature comparing unit,
1007, gate inhibition's control module,
1008, memory module,
1009, display module,
1010, expanding element.
Embodiment
Embodiment one
1 to 2 pair of the utility model further describes in conjunction with the accompanying drawings.
Shown in the accompanying drawing 1, a kind of people's face fingerprint access control synoptic diagram with the live body detection.A kind of people's face fingerprint access control (1) that detects with live body comprises image collection module (1001), portrait live body detection module (1002), finger print acquisition module (1003), fingerprint live body detection module (1004), template storage unit (1005), feature comparing unit (1006), gate inhibition's control module (1007), memory module (1008), display module (1009), expanding element (1010).
Image collection module (1001) adopts camera, towards monitored target direction, gathers detected target facial image, also gathers and the synchronous scene information of personage simultaneously.Facial image obtain functions such as also comprising recording storage, for the extracting of facial image in the echo process etc.
Portrait live body detection module (1002) comprises people's face portion physical motion detection sub-module, people's face portion physiological movement detection sub-module.People's face portion physical motion detection sub-module is after gathering facial image, determine people's face frame, position at the eyes position, eye center position, location, in the facial image multi-picture of shooting with video-corder, with the eye centre of location is benchmark, judges the situation that human eye blinks in the image, judges detected person's face moving situation from physical motion.People's face portion physiological movement detection sub-module, be to judge people's face portion detection of motion module, selected people's face frame, the location human face characteristic point, characteristic point position changes in the motion of recorder's face, and statistics face characteristic spot moving direction is judged between direction of motion and predetermined value to concern, if there is the consistance motion, think to have taken place the motion of people's face physiological.
Finger print acquisition module (1003) is a fingerprint at object, gathers finger print information.Gather complete finger print information, need to gather repeatedly fingerprint sometimes; In addition, live body detects needs to gather the distortion finger print information, therefore need carry out the appropriateness extruding to fingerprint, and all around etc. make fingerprint sequence generation deformation, and carry out the fingerprint image acquisition after the deformation.
Fingerprint live body detection module (1004), it is except that gathering fingerprint image that the live body of fingerprint detects, repeatedly make tested fingerprint generation deformation, record deformation result's detection mould, the distortion situation of fingerprint, determine deflection according to the anchor point of choosing on the fingerprint, deflection is brought in the fingerprint live body detection reference model and is trained, and obtains training result, promptly is fingerprint deformation dimensional energy, itself and setting energy threshold are compared, thereby determine whether fingerprint is living body finger print.
Template storage unit (1005) is meant the unit of storing the fingerprint live body detection model of setting up.So-called fingerprint live body detection model is meant, carry out registration according to fingerprint sequence before and after the fingerprint distortion, choose character pair point as right with reference to the reference point of model, adopt improved model to describe the distortion of fingerprint, the calculated fingerprint distortion makes up fingerprint deformation space flexional vector at the strain energy of distortion of all directions, trains on true and false fingerprint base, obtain the flexional vector space and distribute, thereby form the final reference model that the fingerprint live body detects.When band detection fingerprint enters the live body detection-phase, compare, calculate target deformation time space energy vector to be measured with reference model, the reference threshold that comparison is set, thus determine whether target to be measured is that live body is examined target.
Feature comparing unit (1006) is the biological information that will collect, and comprises that the storage data in people's face, finger print information and the database are compared, and by the threshold criteria of setting that meets, determines whether comparison result meets.Especially,, need satisfy the portrait aspect ratio simultaneously, be considered as the portrait comparison and meet meeting and portrait live body feature detection meets two results for figure information comparison; For fingerprint detection comparison in like manner, need satisfy the fingerprint image characteristics comparison simultaneously and meet with fingerprint live body feature detection and meet, be considered as fingerprint comparison and meet; As same detected object, must satisfy portrait comparison and fingerprint comparison simultaneously and meet, it is legal to be considered as the detected object identity, and the gate inhibition is passed through in operation.If have arbitrary image comparison or live body aspect ratio to occur being inconsistent situation, will be considered as illegal object for portrait, fingerprint, no thoroughfare gate inhibition prevents from dangerously further to enlarge.
Gate inhibition's control module (1007), the unit that passes through of control detected object, its course of work is, according to the comparison result of feature comparing unit (1006), when detected object is legal, allows to pass through, when detected object was illegal, no through traffic.
Memory module (1008), storage user of service's people's face, finger print information, store a large amount of facial image data and fingerprint image data, and connect each other, share fingerprint live body detection model in the template storage unit (1005) with template storage unit (1005).
Display module (1009) adopts LCD Panel, is used for showing gathering detected object people face, finger print information, and live body detects information, testing result, and the demonstration of information warning.
Expanding element (1010) comprises support standard RS232, RS485 serial port circuit, the network interface circuit of support standard ICP/IP protocol, other expanded circuits.
Shown in the accompanying drawing 2, live body testing process flow diagram.A kind of its course of work of people's face fingerprint access control that detects with live body can be described as: people's face fingerprint access control that the band live body detects carries out collection apparatus to the object of desire process, comprise man face image acquiring, specifically refer to facial image be taken by camera, dish is taken record with the scene image of people's face, especially, repeatedly gather facial image, the facial movement situation of recorder's face locating area, the i.e. collection of people's face motion.Fingerprint image is gathered, and record carries out repeatedly fingerprint collecting, and fingerprint is carried out acquisition and recording under the distortion situation.Aforementioned process has been finished desire by gate inhibition's object person face, the collection of fingerprint biological characteristic, carry out relevant detection comparison work then, be about to the facial image of collection and the facial image data in the memory module (1008) and compare, whether meet according to the identical threshold decision of setting; People's face movable information of gathering is analyzed, with the eye center is benchmark, analyst's eyes situation nictation, with people's face anchor point is benchmark, judge that people's face portion is directed mobile, judge people's face biological motion according to reference consistance your standard of moving, thereby judge whether people's face is that live body is examined target; For the finger print information of gathering, finger print data in the same memory module (1008) is compared, according to the identical standard of setting, judge whether fingerprint meets, the location fingerprint unique point is transplanted to the fingerprint live body with fingerprint distortion back situation and is detected in the reference model and train, and calculates fingerprint kinergety space, according to the reference threshold of setting, judge whether fingerprint is that live body is examined target.Comprehensive above-mentioned four comparisons, analysis result, specific analytical method be, satisfies facial image, fingerprint collecting aspect ratio to conforming to and people's face and fingerprint all are under the live body situation, be considered as legitimate targets, carry out the demonstration of testing result under this situation, and the access control action, operational objective passes through; Become a shareholder four and compare, in the analysis result,, be considered as illegal target, this result is shown, and send warning message that access control is forbidden target passing as long as people's face, fingerprint collecting aspect ratio occur to not being inconsistent or live body detects and is not inconsistent situation.
Claims (5)
1. people's face fingerprint access control that detects with live body, it is characterized in that: people's face fingerprint access control that described band live body detects comprises image collection module, portrait live body detection module, finger print acquisition module, fingerprint live body detection module, template storage unit, feature comparing unit, gate inhibition's control module, memory module, display module, expanding element.
2. a kind of people's face fingerprint access control with the live body detection according to claim 1, it is characterized in that: described portrait live body detection module comprises people's face portion physical motion detection sub-module, people's face portion physiological movement detection sub-module.
3. a kind of people's face fingerprint access control with the live body detection according to claim 1, it is characterized in that: described display module adopts LCD Panel.
4. a kind of people's face fingerprint access control with the live body detection according to claim 1, it is characterized in that: described expanding element comprises support standard RS232, RS485 serial port circuit, the network interface circuit of support standard ICP/IP protocol.
5. a kind of people's face fingerprint access control with the live body detection according to claim 1, it is characterized in that: described fingerprint live body detection module comprises fingerprint physical motion detection sub-module, fingerprint deformation detection sub-module.
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| CN2010205384556U CN201845368U (en) | 2010-09-21 | 2010-09-21 | Human face and fingerprint access control with living body detection function |
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| CN2010205384556U CN201845368U (en) | 2010-09-21 | 2010-09-21 | Human face and fingerprint access control with living body detection function |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102332093A (en) * | 2011-09-19 | 2012-01-25 | 汉王科技股份有限公司 | Identity authentication method and device adopting palmprint and human face fusion recognition |
| CN102789572A (en) * | 2012-06-26 | 2012-11-21 | 五邑大学 | Living body face safety certification device and living body face safety certification method |
| CN103888258A (en) * | 2014-01-28 | 2014-06-25 | 北京中科虹霸科技有限公司 | Biological feature template anti-theft discriminating method |
| CN104200543A (en) * | 2014-07-09 | 2014-12-10 | 上海浦歌电子有限公司 | Lock control system with mobile communication module |
| CN104574599A (en) * | 2014-12-30 | 2015-04-29 | 张泽 | Authentication method and device, and intelligent door lock |
| CN104809781A (en) * | 2015-04-24 | 2015-07-29 | 成都腾悦科技有限公司 | Access control system based on fingerprint recognition and face recognition |
| CN105096420A (en) * | 2015-07-31 | 2015-11-25 | 北京旷视科技有限公司 | Access control system and data processing method for same |
| CN105518715A (en) * | 2015-06-30 | 2016-04-20 | 北京旷视科技有限公司 | Living body detection method, equipment and computer program product |
| CN105518582A (en) * | 2015-06-30 | 2016-04-20 | 北京旷视科技有限公司 | Vivo detection method and device, computer program product |
| CN107545624A (en) * | 2016-09-20 | 2018-01-05 | 郑州蓝视科技有限公司 | Community's Migrant women video frequency monitoring method |
| CN107545627A (en) * | 2016-10-25 | 2018-01-05 | 郑州蓝视科技有限公司 | Gate inhibition's open method based on video monitoring |
| CN109492455A (en) * | 2017-09-12 | 2019-03-19 | ***通信有限公司研究院 | Live subject detection and identity identifying method, medium, system and relevant apparatus |
| CN110335379A (en) * | 2019-05-30 | 2019-10-15 | 深圳市威富视界有限公司 | Intelligent door lock control method based on recognition of face |
| CN110705481A (en) * | 2019-10-08 | 2020-01-17 | Oppo广东移动通信有限公司 | Optical fingerprint anti-counterfeiting method and device and computer readable storage medium |
| CN111105538A (en) * | 2018-10-25 | 2020-05-05 | 杭州海康威视数字技术股份有限公司 | Door lock control method based on face recognition and door lock |
| CN112349013A (en) * | 2019-08-09 | 2021-02-09 | 中移物联网有限公司 | Face recognition device and gate entrance guard control method |
| CN112966666A (en) * | 2021-04-01 | 2021-06-15 | 支付宝(杭州)信息技术有限公司 | Living body identification method and device, electronic equipment and server |
-
2010
- 2010-09-21 CN CN2010205384556U patent/CN201845368U/en not_active Expired - Lifetime
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102332093B (en) * | 2011-09-19 | 2014-01-15 | 汉王科技股份有限公司 | Identity authentication method and device adopting palmprint and human face fusion recognition |
| CN102332093A (en) * | 2011-09-19 | 2012-01-25 | 汉王科技股份有限公司 | Identity authentication method and device adopting palmprint and human face fusion recognition |
| CN102789572A (en) * | 2012-06-26 | 2012-11-21 | 五邑大学 | Living body face safety certification device and living body face safety certification method |
| CN102789572B (en) * | 2012-06-26 | 2015-07-01 | 五邑大学 | Living body face safety certification device and living body face safety certification method |
| CN103888258A (en) * | 2014-01-28 | 2014-06-25 | 北京中科虹霸科技有限公司 | Biological feature template anti-theft discriminating method |
| CN103888258B (en) * | 2014-01-28 | 2017-04-19 | 北京中科虹霸科技有限公司 | Biological feature template anti-theft discriminating method |
| CN104200543B (en) * | 2014-07-09 | 2016-09-21 | 上海浦歌电子有限公司 | There is the Lock control system of mobile communication module |
| CN104200543A (en) * | 2014-07-09 | 2014-12-10 | 上海浦歌电子有限公司 | Lock control system with mobile communication module |
| CN104574599A (en) * | 2014-12-30 | 2015-04-29 | 张泽 | Authentication method and device, and intelligent door lock |
| CN104809781A (en) * | 2015-04-24 | 2015-07-29 | 成都腾悦科技有限公司 | Access control system based on fingerprint recognition and face recognition |
| WO2017000213A1 (en) * | 2015-06-30 | 2017-01-05 | 北京旷视科技有限公司 | Living-body detection method and device and computer program product |
| CN105518582A (en) * | 2015-06-30 | 2016-04-20 | 北京旷视科技有限公司 | Vivo detection method and device, computer program product |
| CN105518715A (en) * | 2015-06-30 | 2016-04-20 | 北京旷视科技有限公司 | Living body detection method, equipment and computer program product |
| CN105518582B (en) * | 2015-06-30 | 2018-02-02 | 北京旷视科技有限公司 | Biopsy method and equipment |
| CN105096420A (en) * | 2015-07-31 | 2015-11-25 | 北京旷视科技有限公司 | Access control system and data processing method for same |
| CN107545624A (en) * | 2016-09-20 | 2018-01-05 | 郑州蓝视科技有限公司 | Community's Migrant women video frequency monitoring method |
| CN107545627A (en) * | 2016-10-25 | 2018-01-05 | 郑州蓝视科技有限公司 | Gate inhibition's open method based on video monitoring |
| CN109492455A (en) * | 2017-09-12 | 2019-03-19 | ***通信有限公司研究院 | Live subject detection and identity identifying method, medium, system and relevant apparatus |
| CN109492455B (en) * | 2017-09-12 | 2020-11-13 | ***通信有限公司研究院 | Living object detection and identity authentication method, medium, system and related device |
| CN111105538A (en) * | 2018-10-25 | 2020-05-05 | 杭州海康威视数字技术股份有限公司 | Door lock control method based on face recognition and door lock |
| CN110335379A (en) * | 2019-05-30 | 2019-10-15 | 深圳市威富视界有限公司 | Intelligent door lock control method based on recognition of face |
| CN112349013A (en) * | 2019-08-09 | 2021-02-09 | 中移物联网有限公司 | Face recognition device and gate entrance guard control method |
| CN110705481A (en) * | 2019-10-08 | 2020-01-17 | Oppo广东移动通信有限公司 | Optical fingerprint anti-counterfeiting method and device and computer readable storage medium |
| CN112966666A (en) * | 2021-04-01 | 2021-06-15 | 支付宝(杭州)信息技术有限公司 | Living body identification method and device, electronic equipment and server |
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