Face identity identification system and method with silence detection in vivo

Abstract

The present invention discloses a system and method of detection in vivo. The method comprises: detecting each face area in many face images of users and extracting the face key points corresponding to the face motions to be detected from the detected face areas; determining whether the face image are continuous or not; and performing detection in vivo of the face image based on the extracted face key points to determine that the face images come from real people, where in the step of execution of detection in vivo of face images includes the motion detection step, the texture detection step and the three-dimensional mode detection step. The present invention further discloses a face identity identification system and method with silence detection in vivo. The face identity identification system and method with silence detection in vivo integrate a plurality of modes of detection in vivo, automatically identify the users' motions or expressions and perform special detection in vivo of the motions or expressions so as to improve the accuracy of the detection in vivo.

Description

technical field [0001] The present application relates to the field of face recognition, in particular to a face identity authentication system with silent living detection and a method thereof. Background technique [0002] Face recognition related technologies have been widely used in daily life, and the safety of its use is the most concerned by people. Common methods of deception in face recognition include: photos, videos, and computer-generated face images. Among them, photos and computer-generated face images are not real faces, and faces in videos are not real-time. [0003] Most existing face recognition systems lack liveness detection. In some other methods, some liveness detection methods based on human faces have been added, but the specific detection methods are relatively single and cannot cope with multiple human face deception methods. Or some liveness detection methods based on human face movement require the user to make specific actions or expressions to...

AI Technical Summary

Problems solved by technology

Some other methods have added some face-based liveness detection methods, but the specific detection methods are relatively simple and cannot cope with various face spoofing methods.

Or some liveness detection methods based on human face movement require the user to make specific actions or expressions to achieve detection, which is poor in adaptability

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