Face liveness detection method, system, device, computer equipment and storage medium

Abstract

The present application relates to a face detection method, system, device, computer equipment and storage medium. The method includes: acquiring the image to be detected; inputting the image to be detected into the encrypted network in the trained encrypted detection joint model, extracting the image features of the image to be detected through the encrypted network, and performing image reconstruction based on the image features, and obtaining the image to be detected The encrypted image corresponding to the image, and through the detection network in the encrypted detection joint model, perform liveness detection on the encrypted image, and obtain the liveness detection result of the object to be detected in the image to be detected. The solution provided by this application can reduce the risk of leaking the user's privacy by stealing the image to be detected during the liveness detection process, and protect the user's personal privacy; at the same time, liveness detection is performed on the encrypted image through the detection network in the encrypted detection joint model, and It can guarantee the accuracy of living body detection.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a face detection method, system, device, computer equipment and storage medium. Background technique [0002] With the development of computer technology, in order to identify users more accurately and conveniently, living body detection technology has emerged. Liveness detection technology can use biometric information to verify whether the user is a real living body and operate by himself, and can effectively resist common attacks such as photos, face changes, masks, and occlusions. [0003] At present, when using the living body detection technology to identify the user, it is usually necessary to obtain the original image to be detected, and then perform the living body detection process based on the obtained image to be detected. However, the acquired image to be detected belongs to the user's personal privacy. With the application of liveness detection technolo...

AI Technical Summary

Problems solved by technology

However, the acquired image to be detected belongs to the user's personal privacy. With the increasingly widespread application of liveness detection technology, how to avoid the leakage of the user's personal privacy after the image to be detected is stolen during the analysis and processing process of liveness detection has become an important issue. Problems to be solved

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