Face Detection and Recognition System Using Back- Propagation Neural Network Classifier
Abstract Today Security is an important part of our everyday lives. Biometric technologies are used for providing and increasing the security of the organizations. Human face recognition is a potential method of biometric authentication. This paper represents a process of face detection and recognition system using principal component analysis with back-propagation neural network. For recognizing the faces there are several steps required. Principal component analysis is used for feature extraction whereas backpropagation neural network is used as face recognition classifier. This paper focuses on identifying and verifying a person by matching the test image comparing with the facial database images .The aim of this paper is to provide a better security system by identifying and recognizing human face. The proposed face recognition system gives an accuracy of more than 85%.
Keywords: Face recognition, facial feature extraction, principal component analysis, back-propagation neural network, face detection, acceptance ratio
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