Face silence living body detection method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a face silence living body detection method and device, electronic equipment and a storage medium, and belongs to the technical field of image processing, and the face silence living body detection method comprises the steps of obtaining a normalized face image; performing feature extraction on the normalized face image by using a convolutional neural network, calculating a living body judgment score according to the extracted features, wherein cavity convolution and multi-scale multi-stage supervised training are used during feature extraction; and predicting a living body probability according to the living body judgment score. According to the embodiment of the invention, the cavity convolution is used for replacing a traditional convolution method, the scale of the feature map is not reduced, meanwhile, the receptive field information of the feature map can be increased, the in-vivo detection features with better generalization can be obtained, a multi-stage supervised method is used, the generalization of the features is further enhanced, and a better in-vivo detection effect is obtained. According to the embodiment of the invention, the cost is low, the generalization is good, and the detection effect on various prostheses is good.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to view more

AI Technical Summary

Problems solved by technology

The data production of this scheme is relatively complicat

Images