Face Recognition Method Based on Artificial Neural Network

New method,back propagation neural network based face recognition was presented in this paper.The proposed method extracts feature from face image with differential projection and geometrical features into eigenvector which was classified by back propagation neural network.The experimental results on ORL face database show that the proposed method can achieve an average recognition accuracy of 99% by using only 13 features.Moreover,the identified power was enhanced effectively,and the computing complexity and feature dimensions were reduced greatly.