Neural Network Based Face Recognition Using PCA

Human face is contexture multidimensional point of vision model and by creating computational model for human face recognition is too hard. The paper present two methodologies for the face recognition, the first one is feature extraction and second is the feed forward back propagation neural network. The feature extraction is with Principal Component Analysis and classification with the help of neural network. Eigenfaces are applied to taken out the remedial information in an image, which are persistent for identification. For image recognition the Eigen face approach uses Principal Component Analysis (PCA) algorithm. The proposed algorithm has been tested on 165 images from Yale face database. Test results gave a recognition rate above the 97%. Keywords— Face Recognition, Eigenface, Principal Component Analysis, Artificial Neural Network, MATLAB