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Method and device for human face in-vivo detection

A living body detection and living body technology, applied in the field of face recognition, can solve the problems of low recognition accuracy, unfriendly users, deceiving face recognition equipment, etc., and achieve the effect of high accuracy, robustness and stability

Active Publication Date: 2016-07-06
BEIJING TECHSHINO TECH +1
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] However, this method is very unfriendly to users, and some illegal users can use pre-recorded videos containing specified actions to deceive face recognition devices, resulting in low recognition accuracy

Method used

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  • Method and device for human face in-vivo detection
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  • Method and device for human face in-vivo detection

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Embodiment Construction

[0031] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0032] On the one hand, the embodiment of the present invention provides a method for human face liveness detection, such as figure 1 shown, including:

[0033] Step 101: Collect a 3D face image. In this step, preferably a 3D camera is used to acquire a 3D face image.

[0034] Step 102: Select the first group of feature points on the entire area of ​​the 3D face image, and obtain the three-dimensional coordinates of the first group of feature points.

[0035] Ordinary 2D face images can only obtain two-dimensional coordinates of feature points, while 3D face images can obtain three-dimensional coordinates of feature points. For example, some 3D cameras can directly provide three-dimensional coordinates of some points on a 3D face image, while others T...

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Abstract

The invention discloses a method and device for human face in-vivo detection, and belongs to the field of human face recognition. The method comprises the following steps: acquiring a 3D human face image; selecting a first group of feature points on the whole region of the 3D human face image; selecting a second group of feature points on a local region of the 3D human face image, and acquiring a three-dimensional coordinate of the second group of feature points, wherein the local region is a nose region, an eye region or a mouth region; using the three-dimensional coordinate of the first group of feature points to compute a first human face feature for representing depth information of the first group of feature points; using the three-dimensional coordinates of the first group of feature points and the second group of feature points to compute a second human face feature for representing the depth information of the first group of feature points and the second group of feature points; using the first human face feature and / or the second human face feature to judge whether the 3D human face image is a living body. The method disclosed by the invention is capable of judging whether the human face image is the living body; the recognition precision is high, and the recognition result has robustness and stability.

Description

technical field [0001] The invention belongs to the field of face recognition, in particular to a method and device for face liveness detection. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then recognize the detected faces. [0003] In the prior art, judging whether the collected face image is a live image generally adopts the following method: the user is required to make a specified action, such as blinking, opening the mouth, etc., and the face image is collected, and whether the user is judged according to the collected face image The specified action is completed, and if so, it is judged that the collected face image is a live image. [0004] However, this method is very unfriendly to users, and some...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/164G06V40/169G06V40/161
Inventor 孔勇王玉瑶
Owner BEIJING TECHSHINO TECH
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