A Face Recognition Using PCA and Feed Forward Neural Networks

Face recognition is one of biometric methods, to identify given face image using main features of face. In this paper, a neural based algorithm is presented, to detect frontal views of faces. The dimensionality of face image is reduced by the Principal Component Analysis (PCA) and the recognition is done by the Feed forward Neural Network (FFNN). Here 50 face images from the database are taken and some performance metrics like Acceptance ratio and Execution time are calculated. Neural based Face recognition is robust and has better performance of more than 90 % acceptance ratio.

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