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Face Recognition Using ANN With Reduce Feature by PCA in Wavelet Domain

Face recognition is an active research area in various streams such as pattern recognition, image processing. The Strong need of Face Recognition is personal identification and recognition without the cooperation of the participants. This paper presents face recognition using wavelet transform. A face recognition system follow these steps image decomposition, detection, feature extraction, and matching. For face detection haar wavelet is used to form the coefficient matrix and PCA is used for extracting features. These features are used to train the classifier based on artificial neural networks. The performance of the classifier is determined in terms of recognition rate for different training and testing data set.