Abstract: To solve the problem of high dimension and small sample in face recognition, this paper proposed a facial feature extraction and recognition method based on singular value decomposition and radial basis function neural network.By singular value decomposition,dimension reduction and compression,vector standardization and vector sorting,we finally got the feature vectors of singular value used to identify. It used the neural network classifier based on radial basis function to classify and recognize face. The experiments and data analysis on ORL database show that, this method has good performance whether in the error rate of classification or in the learning efficiency.

Key words: Radial basis function neural network,Singular value decomposition,Feature extraction,Face recognition