Live body verification method and device
A verification method, living body technology, applied in the field of biometrics, can solve problems such as incorrect living body verification results, and achieve the effect of eliminating the impact
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Embodiment 1
[0046] In this embodiment, a living body verification method is provided, figure 1 It is a flowchart of the living body verification method in Embodiment 1 of the present invention, such as figure 1 As shown, the process includes the following steps:
[0047] Step S11: Obtain the face video to be verified.
[0048] Step S12: Extract multiple frames of human face and eye images in the human face video to be verified.
[0049] Step S13: Judgment of eye opening and closing is performed on multiple frames of human face and eye images to obtain a first feature value of eye opening and closing.
[0050] Step S14: Judgment of occluded eyes is performed on multiple frames of human face and eye images to obtain the first feature value of occluded eyes.
[0051] Step S15: Verifying whether the face corresponding to the face video to be verified is a live human face according to at least the first feature value of open and closed eyes and the first feature value of occluded eyes.
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Embodiment approach
[0075] As a preferred implementation manner, step S45 specifically includes the following sub-steps:
[0076] Step S45.1: Using the method of face tracking and face key feature point alignment, obtain the coordinate information of the face key feature points of the two frames of face images in the video.
[0077] Step S45.2: According to the coordinate information of the key feature points of the two frames of face images in step S45.1, calculate the relative movement of the face in the two frames of face images.
[0078] The above steps involve calculating the motion velocity value of the face image in the face video to be verified. It should be noted that there are various methods for calculating the motion velocity value of the face image, which will be illustrated below with an example. In an optional embodiment, obtain the coordinate information of the key feature points of the human face of two adjacent frames of human face images in the human face video to be verified, ...
Embodiment 2
[0093] This embodiment provides a living body verification device, such as Image 6 Shown, comprise: acquisition module 62, be used to obtain the human face video to be verified; Extraction module 64, be used to extract the multi-frame human face eye image in this human face video to be verified; The first feature value acquisition module 66 , for judging whether to open or close eyes to the multiple frames of human face and eye images, to obtain the first feature value of opening and closing eyes; the second eigenvalue acquisition module 68 is used to determine whether to block eyes to multiple frames of human face and eye images, Obtain the first occluded eye feature value; the verification module 70 is used to at least verify whether the face corresponding to the face video to be verified is a live human face according to at least the first open-closed eye eigenvalue and the first occluded eye feature value.
[0094] The above-mentioned device solves the problem in the rela...
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