Human face living body verification method and device, mobile terminal and readable storage medium

Abstract

The invention discloses a human face living body verification method and device, a mobile terminal and a computer readable storage medium, which are applied to the field of mobile terminals, and comprise the following steps: shooting a human face image by utilizing left and right cameras of the mobile terminal; performing distortion correction and line alignment on the shot left and right face images respectively; respectively carrying out face detection on the corrected left and right face images; matching the left image and the right image subjected to face detection with face key points; and carrying out living body judgment according to the distance between the face key points. According to the embodiment of the invention, when face recognition authentication is used, attacks of images, videos and the like can be effectively resisted,. The method is simple, reliable and mature, the speed is high, potential safety hazards are reduced, and the user experience is improved.

Description

technical field [0001] The present invention relates to the field of mobile terminals, in particular to a binocular camera-based human face biometric verification method, device, mobile terminal and computer-readable storage medium. Background technique [0002] With the development of society, face recognition is more and more applied to various products. Although the application of face recognition has been promoted, the user experience is not good. For example, when using face recognition authentication, people need to keep blinking to confirm that there is a living body in front of the camera, which will have two defects: [0003] (1) Sometimes blinking is not timely, or it is not obvious and cannot pass the liveness detection at all; [0004] (2) Vulnerable to image and video attacks. [0005] Due to the above defects in the existing face recognition, when using face recognition for security authentication, there are potential safety hazards and the user experience i...

AI Technical Summary

Problems solved by technology

[0003] (1) Sometimes blinking is not timely, or it is not obvious and cannot pass the liveness detection at all;

[0004] (2) Vulnerable to image and video attacks

[0005] Due to the above defects in the existing face recognition, when using face recognition for security authentication, there are potential safety hazards and the user experience is not good

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