Face living body detection method and device, equipment and medium
A liveness detection and to-be-detected technology, applied in the field of face liveness detection, can solve the problem of low recognition accuracy, achieve the effects of improving accuracy, ensuring public health and safety, and saving time
Active Publication Date: 2021-09-21
工银科技有限公司 +1
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[0004] In view of this, the present disclosure provides a face liveness detection method, device, equipment, and medium to solve the technical problem in the prior art that the recognition accuracy of mouth-opening liveness detection is not high when wearing a mask
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[0038] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present disclosure.
[0039] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, ...
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The invention provides a face living body detection method, device and equipment and a medium, and can be applied to the technical field of artificial intelligence. The method comprises the following steps: when a user wearing a mask opens the mouth within a preset time range, obtaining a to-be-detected face video stream; forming a voting queue containing a plurality of groups of images by taking two continuous frames of images before and after the face video stream to be detected as one group; calculating the difference value of the distance between the mandible feature point and the pupil feature point in each group of images, judging whether the difference value of the distance is greater than a preset distance threshold value or not, and if so, updating the voting weight of the group of images as a first weight; calculating the difference value of the quantity of the mask feature points of the previous frame image and the next frame image in each group of images, judging whether the difference value of the quantity is not less than a preset quantity threshold value or not, and if so, updating the voting weight of the group of images to be a second weight; and according to the voting weights of the multiple groups of images, performing living body voting judgment on the voting queue, and outputting a living body detection result of the to-be-detected face video stream.
Description
technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and more specifically, to a method, device, equipment and medium for detecting human face liveness. Background technique [0002] Face recognition has been widely used in finance, social services, e-commerce and other fields. However, human faces are easily copied with videos or photos, and liveness detection is a prerequisite for the effective application of face recognition. [0003] Generally, face liveness detection is divided into four detection modes: nodding, shaking head, opening mouth and blinking. Especially in public places, in order to prevent the spread of the virus, it is basically required to wear a mask to cover the mouth and nose. Wearing a mask will not affect the liveness detection of nodding, shaking the head, and blinking eyes, but the mask covers most of the features of the face, making it impossible to accurately obtain the key points of the mouth...
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Login to View More IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/04G06N3/08
Inventor 李敏徐春艳豆风雷民尧
Owner 工银科技有限公司