Abstract
In recent years, with the prosperity and development of social economy and the continuous progress of science and technology, people's identity recognition field has been paid more and more attention, and face recognition has higher security than traditional verification manual, which is a hot research direction of artificial intelligence. In this paper, face recognition is carried out in the order of face preprocessing, face detection and face recognition (training). Face preprocessing mainly includes image graying, image filtering, histogram equalization and other processing steps. Face detection adopts Ada Boost based face detection algorithm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup> . The main face recognition algorithms are studied: lbphface Face recognition algorithm based on LBP, this paper uses this algorithm for face recognition. The design and implementation of the security management system based on face recognition is completed.
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