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Scholarly record

Face Recognition Hybrid Algorithm Based on Improved PCA

Fu DUAN, Yi LIU, Qiuyong ZHAO, Chao LIU, F. Duan

Abstract

As it is simple and convenient to operate face recognition system, and this kind of system is without invasive, making face recognition technology become an important research direction of biometric identification. Face recognition technology involves digital image processing, pattern recognition, computer vision, neural networks and other research areas, has important research values. PCA algorithm is a common method for face feature extraction and recognition. In this paper, an improved PCA algorithm for face recognition is designed for the defect of PCA, traditional PCA algorithm combines with the processing of enhancing local mean and standard deviation of image. The improved PCA algorithm mixed with LDA and 2DPCA algorithm respectively, expands the application scope of PCA algorithm. Experimental results on ORL face database show that the methods designed in this paper have good recognition performance, have certain robustness on the uneven illumination and expression changing human faces.

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