Weighted Angle Based Approach for Face Recognition

A Face recognition scheme using weighted angle based approach is proposed in this paper. In content based image retrieval, Face recognition system performs fast and accurate detection from database. 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 the existing methods.