Fusion method of PCA and BP neural network for face recognition

Firstly the function of principal component analysis (PCA) and back propagation (BP) neural network are analyzed in this paper, the fusion method of PCA and BP neural network is proposed for face representation and recognition. Experiments are done on ORL face databases and compare the average recognition rate and training time. Experimental results show that the method achieves the higher recognition accuracy than PCA and BP neural network alone, and Shorten the learning time of the network.