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Authors
Affiliations
1 Department of ECE, Acropolis Institute of Technology and Research, Indore, IN
Source
International Journal of Scientific Engineering and Technology, Vol 2, No 6 (2013), Pagination: 589-593
Abstract
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.
Keywords
Haar, WT, PCA, DWT, Neural Network etc.
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