Face identification method for access control system

Abstract

The invention relates to a face identification method for an access control system. The face identification method sequentially comprises image acquisition, image detection, image preprocessing, feature training, feature extraction, comparison identification, and control of opening of a gate by outputting a comparison result, and also comprises the following steps of: inquiring whether a user uses the system for the first time, and if the user uses the system for the first time, adding an acquired sample into a sample feature face space. By the face identification method, a face image to be identified is preprocessed, so that the vision noise of the image is reduced, and high-frequency parts are filtered out; therefore, those non-obvious low-frequency components are easier to identify; pictures are subjected to light ray compensation by a color space YCrCb skin color partitioning method and then are normalized, so that the face pictures are reduced to the same size; the standard face pictures are obtained by rotating and converting gray values; the whole system can overcome the influence of an acquisition environment; and the identification success rate of the system is further improved.

Description

technical field [0001] The invention relates to a face recognition method, in particular to a face recognition method used for community access control. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. Use a camera or scanner to collect images or video streams containing human faces, and automatically detect and track human faces in the images, and then perform a series of face analysis and matching on the detected faces, and finally realize the identification of different identities Purpose. [0003] With the in-depth research on face recognition technology, many new technologies have emerged. Traditional methods require ideal acquisition conditions (illumination, front, no occlusion) to perform face recognition. When the user does not cooperate, the acquisition conditions When it is not ideal, the recognition rate of the existing automatic recognition system is relatively low, only abou...

AI Technical Summary

Problems solved by technology

[0003] With the in-depth research on face recognition technology, many new technologies have emerged. Traditional methods require ideal acquisition conditions (illumination, front, no occlusion) to perform face recognition. When the user does not cooperate, the acquisition conditions When it is not ideal, the recognition rate of the existing automatic recognition system is relatively low, only about 50%. Therefore, improving the recognition success rate has become a new direction of face recognition technology research.

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