Human face living body detection method and apparatus and electronic device

Abstract

The application discloses a human face living body detection method and apparatus, and an electronic device. The method includes the steps of training a first deep learning model according to a human face acquisition global image; training a second deep learning model according to a human face region partial image clipped from the human face acquisition global image; and performing human face living body detection according to the trained first deep learning model and the trained second deep learning model. With the embodiments of the application, the extraction of more human face living body image features is facilitated, for the combination of the trained first deep learning model and the trained second deep learning model has a better feature expression capability of the human face living body as compared with a model in the prior art, and thus the improvement in the accuracy of human face detection results.

Description

technical field [0001] The present application relates to the technical field of computer software, and in particular to a face detection method, device and electronic equipment. Background technique [0002] Face liveness detection technology is used to judge whether the current face recognition operator is a living user, and then can intercept non-living attacks such as screen replay attacks, printing photo attacks, and 3D modeling attacks. [0003] At present, face liveness detection technology can be divided into two categories: the first type of technology is active face liveness detection technology, which requires users to cooperate with specific living body actions according to instructions during face recognition, such as blinking. , turning head, opening mouth, etc., so that the living body detection module can judge whether the operator is alive according to whether the operator has accurately completed the living body movement; the second type of technology is pa...

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present application provides a human face living body detection method, device and electronic equipment to solve the following technical problems in the prior art: it is difficult to fully extract the features of human face living body image by a technical solution based on a single deep learning model, so that The model has insufficient ability to express the features of live faces, which will reduce the accuracy of live face detection results

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