Binocular camera-based living body identification method and apparatus

Abstract

The invention provides a binocular camera-based living body identification method. The method comprises the steps of collecting human face images corresponding to an object under visible light and infrared light by utilizing a binocular camera; extracting human face key points corresponding to the human face images respectively in the human face images under the visible light and the infrared light; obtaining human face key point coordinate vectors, reflected in the binocular camera, of the target object; performing distance measurement according to the human face key point coordinate vectors, and calculating distances from the human face images to the camera; and under a light source with the same frequency and the same distance, calculating whether the light intensities of the human face key point coordinate vectors are in a preset range or not, judging whether the object providing a human face is a living body or not according to a calculation result. The invention furthermore provides a binocular camera-based living body identification apparatus. Under the condition of obtaining the frequency of the light source, whether the object is the living body or not is judged according to the reflected light intensities of different materials under the same distance, so that other devices do not need to be additionally purchased and the manufacturing cost is reduced.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a method and device for living body recognition based on a binocular camera. Background technique [0002] With the continuous updating of security technology, face recognition technology is more and more widely used in life. Especially in government departments, border customs and financial industries, it plays an irreplaceable role of intelligent security monitoring in security protection. Face recognition technology is becoming more and more mature, and commercial applications are becoming more and more extensive. However, faces are extremely easy to copy by means of photos, videos, etc. constitute an important threat. Over the years, live face detection technology has made some progress, but the safety, reliability and cost of the existing methods in practical application cannot be well balanced. [0003] However, the existing live face recognition technology main...

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