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Face in-vivo validation method and device

A verification method and verification device technology, applied in the field of face recognition, can solve the problems of low flexibility and convenience of living body discrimination, large calculation amount of living body discrimination algorithm, etc., so as to improve flexibility and convenience, eliminate calibration errors, reduce The effect of calculation

Inactive Publication Date: 2016-08-17
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] During the research and practice of the prior art, the inventors of the present invention found that the camera in the prior art needs to be calibrated in advance, and since the calibration will bring a certain calibration error, the computational complexity of the living body discrimination algorithm is large; and, the two The two lenses are on the same horizontal baseline, and there must be a certain distance between the two lenses in order to calculate enough parallax to distinguish real people from paper, so the flexibility and convenience of living body identification will be low.

Method used

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  • Face in-vivo validation method and device
  • Face in-vivo validation method and device

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no. 1 example

[0036] In this embodiment, description will be made from the perspective of a human face biometric verification device, and the human face biometric verification device may specifically be integrated in a network device such as a server.

[0037] A face verification method, comprising: acquiring at least two face images captured by cameras; performing feature point registration on the face images according to preset face feature points to obtain corresponding feature point combinations; The preset algorithm fits the homography matrix between the combination of feature points; based on the homography matrix, calculates the transformation error of the combination of feature points, obtains the error calculation result, and performs facial recognition according to the error calculation result. In vivo verification.

[0038] see Figure 1b , Figure 1b It is a schematic flowchart of the face biometric verification method provided in the first embodiment of the present invention....

no. 2 example

[0076] According to the method described in the first embodiment, an example will be given below for further detailed description.

[0077] The face biometric verification method provided by this method is mainly applied to an office access control system. Before performing face recognition, first use this method to perform biometric verification, and then perform face recognition when the biometric verification of the face is passed; this method uses two or more cameras that are freely placed, and analyzes the simultaneous The three-dimensional geometric relationship of the facial features in the multiple face images captured, using the homography of the feature point pairs in the plane analytic geometry, does not require the cooperation of the user to carry out the living verification of the face.

[0078] The following takes two cameras as an example to describe the face biometric verification method in detail, wherein the two cameras are respectively arranged on the side o...

no. 3 example

[0109] In order to facilitate better implementation of the face biometric verification method provided by the embodiment of the present invention, the embodiment of the present invention also provides a device based on the above-mentioned human face biometric verification method. The meanings of the nouns are the same as those in the above-mentioned face biometric verification method, and for specific implementation details, please refer to the description in the method embodiments.

[0110] see Figure 3a , Figure 3a The schematic structural diagram of the face biometric verification device provided by the embodiment of the present invention may include an acquisition unit 301 , a feature point registration unit 302 , a fitting unit 303 , a calculation unit 304 and a verification unit 305 .

[0111] Wherein the acquisition unit 301 is used to acquire the facial images captured by at least two cameras; the feature point registration unit 302 is used to perform feature point ...

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Abstract

The invention discloses a face in-vivo validation method and device. The method includes the steps that face images captured by at least two cameras are acquired; feature point registration is carried out on the face images according to preset face feature points, and corresponding feature point combinations are obtained; homography matrixes between the feature point combinations are fitted according to a preset algorithm; conversion errors of the feature points are calculated based on the homography matrixes, an error calculation result is obtained, and face in-vivo validation is carried out according to the error calculation result. According to the face in-vivo validation method and device, it is unnecessary to calibrate the cameras, calibration errors are eliminated, feature point matching is carried out directly on the captured face images, the homography matrixes are fitted, and thus the calculation amount of an in-vivo discrimination algorithm can be reduced; besides, the cameras can be freely placed, and thus the flexibility and convenience of in-vivo discrimination can be improved.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and in particular relates to a method and a device for verifying a living body of a face. Background technique [0002] With the development of biometric technology, face recognition technology has become mature. For some face recognition systems such as access control and login systems, users can deceive the system by illegal means such as photos. Therefore, the realization of living body detection has become a means of guaranteeing the security of this type of system. [0003] The existing multi-camera liveness detection technology generally uses binocular cameras arranged horizontally on the left and right sides. After binocular positioning, stereo matching of the left and right images is performed to restore the depth information of the face area. The region has regular depth information to distinguish real faces from planar attack samples (such as photos, videos, or printed faces o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172G06V40/45G06V10/757G06F21/32G06F21/45G06T7/10G06T2207/30201G06V40/167
Inventor 鲍冠伯李季檩
Owner TENCENT TECH (SHENZHEN) CO LTD
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