Face Recognition Based on Block PCA algorithm and Elman neural network

Abstract

A method of face image recognition based on Elman neural network and block PCA algorithm is put forward. In this method, the first step is to use block PCA algorithm for the face image processing, and gain the face image features of different block number. These features are the inputs of Elman neural network, the output is the corresponding category. The experiment is based on ORL face images database, the simulation partition of the face images into the different sizes for the testing respectively. Through the above experiment results which show that, face image recognition based on the block PCA algorithm and artificial neural network is effective. The application of block PCA algorithm improves the identification accuracy of face image recognition, and which can be used in the further research.