Face recognition-based attendance access control system

Abstract

The present invention provides a face recognition-based attendance access control system, which comprises a first camera module used for acquiring a first image information in a first preset to-be-monitored space, a second camera module used for acquiring a second image information in a second preset to-be-monitored space, a face recognition and processing module used for conducting the gray processing and the illumination compensation processing on the acquired first and second image information so as to obtain an grayscale image, and extracting the feature information of face components from the grayscale image, a feature data comparison module used for conducting the similarity comparison on the feature information of face components and the pre-stored face data information, and generating an access control switch control signal when the similarity achieves a similar threshold, and an access control module used for receiving the access control switch control signal to open or close a door. According to the invention, the cross monitoring function on the image information in different to-be-monitored spaces can be realized by the first camera module and the second camera module. Therefore, the recognition accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and in particular relates to a face recognition-based time attendance access control system. Background technique [0002] Face recognition technology is based on human facial features. For the input face image or video stream, it first judges whether there is a human face, and if there is a human face, it further gives the position, size and main features of each face Information such as the position of facial organs. Based on this information, the identity features contained in each face are further extracted, and compared with known faces, so as to identify the identity of each face. [0003] The advantage of face recognition lies in its naturalness and the characteristics of not being noticed by the individual being tested. The so-called naturalness means that the recognition method is the same as the biological characteristics used by human beings for individual recognition. For e...

AI Technical Summary

Problems solved by technology

This feature is beneficial for using the face to locate, but it is not good for using the face to distinguish human individuals; the shape of the face is very unstable, and people can produce many expressions through changes in the face, and at different viewing angles, The visual images of human faces also vary greatly

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