Face Recognition Using Principal Component Analysis and Artificial Neural Network of Facial Images Datasets in Soft Computing

Abstract Face Recognition is one of biometric techniques, to recognize given face image using significant features of face. The paper present a face recognition using Principal Component Analysis and Two-Layer Feed Forward Neural Network techniques used to recognition frontal and poses variation images. The dimension of face image is reduced by the Principal Component Analysis and gives feature vector of images. The training and recognition is done by the Two- Layer Feed-Forward Neural Network. The study highlights the performance of neural network. The Two layer feed forward NN applied on face 95 as a standard dataset and Local Images taken by the variations of poses.The performance of neural network is satisfactory and the accuracy of recognition is 100%.