Face living body detection method and system

Abstract

The present invention discloses a face in-vivo detection method and system. The face in-vivo detection method comprises the steps of: simultaneously and respectively acquiring two images of an identification object by two cameras; positioning face regions in the two images by adopting a face classifier so as to acquire face images which respectively correspond to the two images; carrying out feature point positioning on the two face images; carrying out feature point rapid stereo matching on the face images subjected to feature point positioning; calculating parallax errors of the two face image at match feature points and acquiring depth information values of the match feature points; and according to the depth information values of a plurality of match feature points, judging whether the face of the identification object is a living body. According to the present invention, excessive cooperation of a user is not required; safety is high; hidden performance is high; attitude adaptability is high; the application range is wide; a matching speed is high; and user experience is good.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a method and system for detecting human face liveness. Background technique [0002] With the development of biometric technology, face recognition technology has become mature. At present, under good lighting conditions and postures, the face recognition system can already perform relatively accurate face detection and recognition. However, for some For the face recognition system of access control, login and other systems, users can deceive the system by illegal means such as photos. Therefore, for this type of system, the higher the recognition rate, the greater the potential safety hazard. Therefore, the realization of living body detection has become a means of guaranteeing the security of this type of system. [0003] In the prior art, some face detection methods used in face recognition systems require the user to cooperate with specific actions. The algorith...

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Problems solved by technology

[0003] In the prior art, some face liveness detection methods used in face recognition systems require users to cooperate with specific actions. The algorithm is simple, but it is easy to leak the judgment basis, making it easy for illegal users to imitate, and it takes a long time to cooperate with the action. Limited, some methods such as blink detection and optical flow detection generally require the user to accurately face the camera, the posture adaptability is not high, and the user experience is not good

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