Living body detection method, computer device and computer readable storage medium

Abstract

The invention discloses a living body detection method, a computer device and a computer readable storage medium. In the living body detection method, a multi-layer perceptron is trained by using a preset training set to determine a multi-layer perceptron model, continuous N-frame human face images to be detected is obtained, an intermediate frame human face image of the consecutive N-frame humanface images is switched from a first color space to a second color space, textural features of the intermediate frame human face image and dynamic pattern features of the continuous N-frame human faceimages are extracted, fusion features are acquired by fusing the textural features and the dynamic pattern features, the multi-layer perceptron model is used to perform feature mapping on the fusionfeatures, mapping features are output and normalized, a predicted probability value of a living body tag and a predicted probability value of a non-living body tag are obtained, and then the continuous N-frame human face images are determined as living body or non-living body human face images. The fusion features include the textural features and the dynamic pattern features, and thus the recognition accuracy and safety of living body detection can be improved.

Description

technical field [0001] The invention belongs to the field of face anti-counterfeiting, and in particular relates to a living body detection method, a computer device and a computer-readable storage medium. Background technique [0002] In face recognition or face anti-counterfeiting systems, it is generally necessary to use live detection technology to prevent criminals from using other people's images or video information to attack. Existing living body detection techniques are generally divided into interactive and non-interactive methods. Interactive liveness detection technology requires the user to cooperate to complete corresponding actions, such as blinking, shaking the head, smiling, etc., resulting in poor user experience and unsatisfactory recognition effect. Non-interactive living body detection technology is generally divided into two types: detection based on color texture information and detection based on image motion information. Among them, the basic idea ...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a living body detection method, a computer device, and a computer-readable storage medium, aiming to solve the problems of low recognition accuracy and poor security existing in the existing living body detection system

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