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Sub Pattern Technique for Face Recognition

A Face recognition scheme using sub pattern technique with weighted angle based approach is proposed in this paper. Face recognition is one of the most active research areas in computer vision and pattern recognition with practical application. Feature vector based on Eigen vectors of sub images is used for recognition. Image is partitioned into sub images. Sub parts are rearranged into rows and column matrices. Eigenvectors are computed for these matrices. Global feature vector is generated and weighted angle distance is used for face recognition. Experiments performed on benchmark face database (YALE) indicated that the proposed weighted angle based approach has better recognition performance in terms of average recognized rate and retrieval time compared to existing methods.