CN102842040A - Living body detection method utilizing eye tracing - Google Patents
Living body detection method utilizing eye tracing Download PDFInfo
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- CN102842040A CN102842040A CN2012102870541A CN201210287054A CN102842040A CN 102842040 A CN102842040 A CN 102842040A CN 2012102870541 A CN2012102870541 A CN 2012102870541A CN 201210287054 A CN201210287054 A CN 201210287054A CN 102842040 A CN102842040 A CN 102842040A
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Abstract
The invention discloses a living body detection method utilizing eye tracing, and aims to solve the technical problem that whether a detected object is a true living body can not be judged accurately due to the fact that a detected person can use methods such as a photo, a video, a waxwork image to cheat a human face detection system in current face recognition and tracing application. The detected object is asked to use eye movement to trace the dynamic moving locus of a randomly selected object at real time in the living body detection method utilizing eye tracing, according to the collected eye image in eye real-time tracing process, the eye movement locus of the detected object is obtained, the obtained eye movement locus is compared with the pre-designed dynamic moving locus of the randomly selected object, so that the authenticity of the human face living body is judged and recognized. The living body detection method utilizing eye tracing has the advantages of being simple, easy to operate and effective. The detected object is asked to use eye movement to trace the pre-designed dynamic moving locus of the supplied random object at real time to recognize the authenticity of the human face living body of the detected object, and accordingly the technical problem that the detected person use the photo, the video, the waxwork image and the like to cheat the human face detection system is effectively resloved.
Description
Technical field:
The present invention relates to a kind of method, relate in particular to a kind of method of using eye tracking to carry out the live body detection the detection of people's face live body.Needs can be widely used in through the recognition of face true and false, each application of live body detection need be carried out.
Background technology:
At present in recognition of face and tracking are used; Usually the live body detection is judged through blinking; Whether promptly point out the detected person to blink and detect and blink, this kind mode can prevent the deception of photo, but to recorded video; Head portrait can blinked always in video playback, and this can make detection system can't judge accurately whether to be detected be real live body.Therefore exist the detected person can use modes such as photo, video, waxen imagen to cheat face detection system, particularly dynamic video record duplicity is bigger, makes detection system be difficult to the true and false of people's face that Recognition and Acquisition arrives.
Summary of the invention:
The present invention is in order to solve at present in recognition of face and tracking are used; The detected person who exists can use modes such as photo, video, waxen imagen to cheat face detection system; And can't judge accurately whether to be detected be the technical barrier of real live body; A kind of method of using eye tracking to carry out the live body detection is provided, and this method is through requiring detected object, the object dynamic operation track that uses the eyeball dynamic tracking to randomly draw in real time; With the eyeball image in the eyeball real-time follow-up process that collects; Obtain the eyeball moving track of detected object, compare with the object dynamic operation track of randomly drawing of design in advance again, judge, discern the true and false of the people's face live body that is carried out.
Characteristics of the present invention and beneficial effect: simple, the easy row of this method, effective.Through requiring detected object; Utilization eyeball dynamic tracking is its object dynamic operation track of design in advance that provides at random in real time; The true and false of identification detected object people face live body can effectively solve the detected person cheats face detection system through modes such as photo, video, waxen imagens technical barrier.Effectively avoided the video fraud problem.
Description of drawings:
Live body detects the data acquisition synoptic diagram among Fig. 1 the present invention
Embodiment:
A kind of method of using eye tracking to carry out the live body detection; This method is through requiring detected object; The object dynamic operation track that uses the eyeball dynamic tracking to randomly draw in real time with the eyeball image in the eyeball real-time follow-up process that collects, obtains the eyeball moving track of detected object; Compare with the object dynamic operation track of randomly drawing of design in advance again, judge, discern the true and false of the people's face live body that is carried out.
Embodiment:
Referring to Fig. 1, live body detects the data acquisition synoptic diagram among the present invention.
What this method was taked is to be detected person's movement locus of object providing with the machine; Requirement is carried out real-time eyeball tracking to it; The eyeball moving track that passes through to be obtained with compare for detected person's pre-designed movement locus of object providing with the machine; Judge the true and false of people's face live body, effectively avoided the video deception.
On screen 1, be provided with the camera 2 that to search for tested person's eyeball 3 automatically, require the running orbit that tested person's eyeball 3 is ordered to B from the A point along with the spherical body that provides 4 to follow the tracks of.
Concrete steps:
1) at first Automatic Program generates an object (present embodiment generate be spherical body 4), gives the track (present embodiment from the A point to the B point) of a motion of object Random assignment then;
2) the prompting detected person watches spheroid 4 in real time attentively and moves eyeball 3 according to the movement locus of spheroid 4;
3) gather real-time eye tracking trace image through camera 2, obtain the eyeball moving track data;
4) with the eyeball moving track data with compare for detected person's pre-designed subject image movement locus providing with the machine;
5) if reach the fault value scope of setting, then think detected person's eyeball according to the content of prompting and watch attentively according to the image motion track that provides, confirm that the detected person is live body and detects cooperating; Otherwise, be not live body just.
If cheat with photo or waxen imagen, natural eyeball can not move; If cheat with playing one section video, then, can't match with it to the video of recording in advance because object or image motion track that program generates are providing with the machine, therefore can't implement deception.
Claims (1)
1. the method for using eye tracking to carry out the live body detection; This method is through requiring detected object; The object dynamic operation track that uses the eyeball dynamic tracking to randomly draw in real time with the eyeball image in the eyeball real-time follow-up process that collects, obtains the eyeball moving track of detected object; Compare with the object dynamic operation track of randomly drawing of design in advance again, judge, discern the true and false of the people's face live body that is carried out.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN2012102870541A CN102842040A (en) | 2012-08-13 | 2012-08-13 | Living body detection method utilizing eye tracing |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2012102870541A CN102842040A (en) | 2012-08-13 | 2012-08-13 | Living body detection method utilizing eye tracing |
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| CN102842040A true CN102842040A (en) | 2012-12-26 |
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| CN2012102870541A Pending CN102842040A (en) | 2012-08-13 | 2012-08-13 | Living body detection method utilizing eye tracing |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103106703A (en) * | 2013-01-14 | 2013-05-15 | 张平 | Anti-cheating driver training recorder |
| CN103634120A (en) * | 2013-12-18 | 2014-03-12 | 上海市数字证书认证中心有限公司 | Method and system for real-name authentication based on face recognition |
| CN103995460A (en) * | 2014-05-16 | 2014-08-20 | 北京印刷学院 | Smart watch |
| CN104102866A (en) * | 2013-04-15 | 2014-10-15 | 欧姆龙株式会社 | Authentication device and authentication method |
| CN104657648A (en) * | 2013-11-18 | 2015-05-27 | 广达电脑股份有限公司 | Head-mounted display device and login method thereof |
| CN105184246A (en) * | 2015-08-28 | 2015-12-23 | 北京旷视科技有限公司 | Living body detection method and living body detection system |
| CN105184277A (en) * | 2015-09-29 | 2015-12-23 | 杨晴虹 | Living body human face recognition method and device |
| CN105930761A (en) * | 2015-11-30 | 2016-09-07 | 中国银联股份有限公司 | In-vivo detection method, apparatus and system based on eyeball tracking |
| CN106326861A (en) * | 2016-08-25 | 2017-01-11 | 广州御银自动柜员机科技有限公司 | Iris recognition device |
| CN106384456A (en) * | 2016-08-25 | 2017-02-08 | 广州御银自动柜员机科技有限公司 | VTM machine based on iris identification |
| CN107622188A (en) * | 2016-07-15 | 2018-01-23 | 阿里巴巴集团控股有限公司 | Verification method, device, system and equipment based on biological characteristic |
| CN111723636A (en) * | 2019-03-21 | 2020-09-29 | 阿里巴巴集团控股有限公司 | Fraud detection using optokinetic responses |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US8235529B1 (en) * | 2011-11-30 | 2012-08-07 | Google Inc. | Unlocking a screen using eye tracking information |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US8235529B1 (en) * | 2011-11-30 | 2012-08-07 | Google Inc. | Unlocking a screen using eye tracking information |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103106703A (en) * | 2013-01-14 | 2013-05-15 | 张平 | Anti-cheating driver training recorder |
| CN104102866A (en) * | 2013-04-15 | 2014-10-15 | 欧姆龙株式会社 | Authentication device and authentication method |
| CN104657648B (en) * | 2013-11-18 | 2017-12-29 | 广达电脑股份有限公司 | Head-mounted display device and login method thereof |
| CN104657648A (en) * | 2013-11-18 | 2015-05-27 | 广达电脑股份有限公司 | Head-mounted display device and login method thereof |
| CN103634120A (en) * | 2013-12-18 | 2014-03-12 | 上海市数字证书认证中心有限公司 | Method and system for real-name authentication based on face recognition |
| CN103995460A (en) * | 2014-05-16 | 2014-08-20 | 北京印刷学院 | Smart watch |
| CN105184246B (en) * | 2015-08-28 | 2020-05-19 | 北京旷视科技有限公司 | Living body detection method and living body detection system |
| CN105184246A (en) * | 2015-08-28 | 2015-12-23 | 北京旷视科技有限公司 | Living body detection method and living body detection system |
| US10528849B2 (en) | 2015-08-28 | 2020-01-07 | Beijing Kuangshi Technology Co., Ltd. | Liveness detection method, liveness detection system, and liveness detection device |
| CN105184277B (en) * | 2015-09-29 | 2020-02-21 | 杨晴虹 | Living body face recognition method and device |
| CN105184277A (en) * | 2015-09-29 | 2015-12-23 | 杨晴虹 | Living body human face recognition method and device |
| CN105930761A (en) * | 2015-11-30 | 2016-09-07 | 中国银联股份有限公司 | In-vivo detection method, apparatus and system based on eyeball tracking |
| TWI707243B (en) * | 2015-11-30 | 2020-10-11 | 大陸商中國銀聯股份有限公司 | Method, apparatus, and system for detecting living body based on eyeball tracking |
| WO2017092573A1 (en) * | 2015-11-30 | 2017-06-08 | 中国银联股份有限公司 | In-vivo detection method, apparatus and system based on eyeball tracking |
| CN107622188A (en) * | 2016-07-15 | 2018-01-23 | 阿里巴巴集团控股有限公司 | Verification method, device, system and equipment based on biological characteristic |
| CN106384456A (en) * | 2016-08-25 | 2017-02-08 | 广州御银自动柜员机科技有限公司 | VTM machine based on iris identification |
| CN106326861A (en) * | 2016-08-25 | 2017-01-11 | 广州御银自动柜员机科技有限公司 | Iris recognition device |
| CN111723636A (en) * | 2019-03-21 | 2020-09-29 | 阿里巴巴集团控股有限公司 | Fraud detection using optokinetic responses |
| CN111723636B (en) * | 2019-03-21 | 2022-06-03 | 创新先进技术有限公司 | Fraud detection using optokinetic responses |
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Application publication date: 20121226 |