Human face living detection method, device and system

Abstract

The invention provides a human face living detection method, device and system. The method includes the steps that a first image acquired by a main camera and a second image acquired by an auxiliary camera are acquired, when the first image comprises characteristic information of a human face image, the first image is corrected, the corrected first image and the second image are subjected to three-dimension matching, a disparity map between the human face image and the main camera is obtained, a fitting plane of key points of the human face image is obtained through fitting according to three-dimensional relation matrixes between the disparity map and the main camera and between the disparity map and the auxiliary camera, and therefore the corresponding fitting deviation can be calculated; the fitting deviation is compared with a set threshold, and therefore whether the human face image comes from a living face or not can be judged. According to the technical scheme, operation is easy, the anti-outside-interference capacity is high, precision is high, and a model training part in a machine learning method is avoided.

Description

technical field [0001] The present invention relates to the technical field of pattern recognition, in particular to a face detection method, device and system. Background technique [0002] Biometric recognition technology, especially face recognition technology, has been widely used in daily life. In view of the advantages of convenience, user-friendliness, and non-contact, face recognition technology has achieved rapid development in recent years. However, the traditional face detection technology only processes the images captured by the camera, and does not consider the distance information of each pixel in the image from the camera, so that forged face models such as photo faces can pass through the face recognition system. detection. For this reason, in order to accurately determine whether the detected face is from a real person, face liveness detection is required. [0003] At present, most of the existing face detection methods are based on machine learning. Spec...

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Problems solved by technology

[0005] The present invention provides a face detection method, device and system to solve the problems of time-consuming and face recognition results heavily dependent on sample image selection and detection system when realizing live face detection based on machine learning. Poor judgment performance for new registrants

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