Mouth occlusion judgment method and device, computer readable storage medium and equipment

A mouth and lips technology, applied in the field of mouth occlusion judgment, can solve the problems of high accuracy, good generalization, and strong robustness, and achieve high accuracy, good generalization, and strong robustness
CN114255490APending Publication Date: 2022-03-29BEIJING TECHSHINO TECH +1
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING TECHSHINO TECH
Publication Date
2022-03-29

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Abstract

The invention discloses a mouth occlusion judgment method and device, a computer readable storage medium and equipment, and belongs to the field of biological recognition. The method comprises the following steps: acquiring a face image and positioning to obtain face key points; calculating the mouth opening degree according to the face key points, and dividing the face image into a mouth opening image or a non-mouth opening image according to the mouth opening degree; for the non-mouth-opening image, obtaining a mouth region image from the non-mouth-opening image according to mouth key points in the face key points; and inputting the mouth region image into a pre-trained convolutional neural network, and judging whether the mouth is shielded or not. According to the method, the problem of misjudgment of mouth occlusion caused by the large mouth image is solved, and the method is high in accuracy, good in generalization, high in robustness and high in speed.
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Description

technical field

[0001] The present invention relates to the field of biometric identification, in particular to a method, device, computer-readable storage medium and equipment for judging mouth occlusion. Background technique

[0002] The rise of deep learning has brought great development to biometric recognition, especially research in the fields of face recognition and image understanding. The biological characteristics can not only distinguish the individual organisms, but also judge the state of the individual organisms. When recognizing a human face, it is first necessary to obtain a clear and complete human face image when the light is sufficient, and then perform data processing on the human face image. In face recognition tasks, incomplete or occluded face images will lead to a decrease in accuracy, especially the occlusion of facial features such as the mouth, which has a greater impact on algorithm performance. In addition, the occlusion of the mouth has a grea...

Claims

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