Living body human face detecting method based on near-infrared and visible-light binocular camera

Abstract

The invention discloses a living body human face detecting method based on a near-infrared and visible-light binocular camera, and belongs to the field of the receiver vision and security. The featurethat video and most paper cannot present an image under the infrared camera is used for effectively preventing the attack of a fake human face in the video, and the texture difference and the color difference of the real human face and the picture human face under the near-infrared camera and the visible light camera are used, a trained classifying model is capable of effectively distinguishing whether the human face is from the real human face or the fake human face in a picture. The accuracy of the living body detection of the method is high. The method is capable of effectively preventingthe attack of the fake human face in common means, such as the video and picture. Compared with a traditional algorithm, the accuracy is greatly improved, the safety is guaranteed, a user does not need to make a corresponding action or expression by cooperating with a machine, and the user experience is improved.

Description

technical field [0001] The invention belongs to the field of computer vision and security protection, and in particular relates to a living human face detection method based on near-infrared and visible light binocular cameras. Background technique [0002] In today's information society, when people engage in many social activities, in order to ensure security, they often need to authenticate their personal identities. Face has the characteristics of naturalness, stability, and easy collection, so it is used in identity authentication. However, in the face authentication system, if only the face recognition algorithm is used, it will be impossible to judge whether the face in front of the camera is from a real face or a fake face in a video or a photo. Therefore, it is necessary to add a live face detection algorithm to the face identity authentication system to detect whether the face in front of the camera is a real face from a living body. [0003] Existing live face d...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the technical problems of insufficient recognition rate and generalization of live face detection with a visible light camera without user cooperation, and poor user experience and insufficient security of live face detection with user cooperation. A live face detection method based on near-infrared and visible light binocular cameras