Face counterfeit verification method, device, computer equipment and storage medium

Abstract

The present invention provides a method, device, computer equipment and storage medium for face detection, which belong to the field of face recognition, and specifically include determining the existence of a face image in an infrared image captured by a single 3D structured light or a TOF camera, and judging the Whether the target to be verified corresponding to the face image is a living body; when it is determined that the target to be verified is a living body, extract key points of the face from the infrared image; use the key points of the face to compare the infrared image and the The three channel images generated by the depth image corresponding to the infrared image are subjected to face correction to obtain the corrected face images under each channel; the features of the corrected face images of the four channels are extracted through the face feature extraction model, and Comparing and calculating with the features of the feature library to obtain the comparison similarity; when the comparison similarity is greater than the preset recognition threshold, it is determined that the face recognition is successful. Through the processing scheme of the present disclosure, the cost is reduced and the accuracy of face recognition verification is improved.

Description

technical field [0001] The present invention relates to the field of face recognition, in particular to a face verification method, device, computer equipment and storage medium. Background technique [0002] As an important machine vision technology, face recognition plays a major role in the field of artificial intelligence. In many application scenarios (such as door locks, access control, gates, etc.), there are high requirements for device power consumption, attack defense capabilities, recognition accuracy and pass rate. Currently, two types of cameras are usually used for detection, for example, images captured by an RGB camera are used for face recognition, and images captured by an IR camera are used for liveness detection. Being attacked, for example, the attacker replaces the video image captured by the camera with the pre-recorded video image, which will lead to the failure of the liveness detection or the error of the liveness detection, which will bring losses...

AI Technical Summary

Problems solved by technology

Currently, two types of cameras are usually used for detection, for example, images captured by an RGB camera are used for face recognition, and images captured by an IR camera are used for liveness detection. Being attacked, for example, the attacker replaces the video image captured by the camera with the pre-recorded video image, which will lead to the failure of the liveness detection or the error of the liveness detection, which will bring losses to the user, and the security is low

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