Living body human face identifying method

Abstract

The invention discloses a living body human face identifying method. The method is divided into a training stage and an identifying stage. In the training stage, multiple living body human face images and picture human face images are obtained, the feature vector of a gray level image of each living body human face image is extracted to serve as a positive sample, and the feature vector of a gray level image of the human face image of each picture is extracted to serve as a negative sample, all the positive samples and all the negative samples are input into an SVM classifier to be trained, and an SVM classifier training model is obtained; one frame human face image is obtained in the identifying stage, the human face identifying technology is used for identification, when an identification result shows that a user is legal, the living body detection technology is used for extracting the feature vectors, and the feature vectors are input into the SVM classifier training model to conduct living body detection. The living body human face identifying method has the advantages that the human face identifying technology is used for judging whether the human face is the human face of the legal user or not, the legal user then can judge whether the human face is a living body human face or a counterfeit picture human face through the living body detection technology if the user is legal, and therefore potential safety hazards caused by the picture human face are effectively eliminated.

Description

technical field [0001] The invention relates to a face recognition technology, in particular to a living face recognition method. Background technique [0002] Face recognition technology is a kind of biometric identification technology, which has achieved rapid development in recent years due to its advantages of convenience, speed and accuracy. The input of the face recognition system is generally a face image containing the identity to be detected, and several face images of known identities in the face database, and its output is a series of face similarity scores, In this way, the identity of the recognized face is indicated. At present, face recognition technology has been widely used in criminal investigations, banking systems, customs inspections, civil affairs departments, work and attendance, and other fields. However, with the continuous expansion of the application range of face recognition technology, some security problems have also occurred. Criminals use fo...

AI Technical Summary

Problems solved by technology

However, with the continuous expansion of the application range of face recognition technology, some security problems have also occurred. Criminals use forged face photos to deceive the face recognition system, thus causing major economic losses to legitimate users.

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