China
Face recognition research began in the 1970s. With the rapid development of science and technology and computer technology, it has been applied to property management, and has become a new research direction. Based on this, in this paper, the research status of Campus security and face recognition at home and abroad was investigated, the concept and principle of face recognition technology were analyzed, and a face recognition algorithm based on PCA algorithm was proposed.
And then the principal component analysis method was derived and applied to face recognition. A new wavelet transform method was established for face recognition algorithm, and the facial feature vector was extracted, and the recognition method combining wavelet transform with PCA algorithm was obtained. Finally, the proposed algorithm was applied to intelligent Campus security management system. The results show that the algorithm can effectively improve the recognition accuracy, and can meet the design requirements, which provides a theoretical basis for the subsequent system research.