Human face living body detection method, system and device, computer equipment and storage medium

Abstract

The invention relates to a human face living body detection method, system and device, computer equipment and a storage medium. The method comprises the steps of receiving a to-be-detected image sentby a terminal, wherein the to-be-detected image comprises a face of a to-be-detected object; performing data enhancement processing on the to-be-detected image to obtain more than one extended image corresponding to the to-be-detected image; carrying out living body detection on each extended image to obtain an intermediate detection result of each extended image; and fusing the intermediate detection results of the extended images to obtain a living body detection result of the to-be-detected object in the to-be-detected image. According to the scheme provided by the invention, the transmission time delay caused by the fact that a user waits for uploading of multiple images during living body detection can be avoided, and the user experience is also improved. Meanwhile, the plurality of extended images after data enhancement are used as objects for living body detection, so that the data volume is increased, and the detection accuracy can be improved to a certain extent.

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 liveness detection technology to identify users, it is difficult to obtain accurate detection results from one image. In order to improve the accuracy of detection, users usually need to upload multiple images for analysis, but users need to wait for multiple images to be uploaded. Liveness detection can only be performed after success, and the transmissi...

AI Technical Summary

Problems solved by technology

[0003] At present, when using liveness detection technology to identify users, it is difficult to obtain accurate detection results from one image. In order to improve the accuracy of detection, users usually need to upload multiple images for analysis, but users need to wait for multiple images to be uploaded. Liveness detection can only be performed after success, and the transmission of multiple images takes a certain amount of time, resulting in low efficiency of liveness detection

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