Affiliations: School of Construction Management and Real Estate, Chongqing University, Chongqing, China
Correspondence:
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Corresponding author. Cai Rui, School of Construction Management and Real Estate, Chongqing University, Chongqing, China. E-mail: [email protected].
Abstract: The research of face recognition began in the 70s of last century. With the rapid development of science and technology and computer technology, it has been used in the application of property management, which has become a new research direction. Based on this, the research status of intelligent property and face recognition at home and abroad was investigated. On this basis, the concept and principle of face recognition technology were analyzed, and PCA algorithm was proposed for face recognition. According to the basic theory of PCA algorithm, it was applied to face recognition technology. The principle of PCA algorithm was proposed, and the principal component analysis method was deduced and applied to face recognition. According to the performance of PCA algorithm in face recognition technology, a new wavelet transform method was used in face recognition algorithm. After extracting the facial feature vector, the wavelet transform method combined with PCA algorithm was obtained. Finally, the proposed algorithm was applied to intelligent residential property 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.
Keywords: PCA, algorithm, face recognition, intelligent property
