Performance Comparison of Eigen-faces vs. Fisher-faces for Face Recognition
Journal Title: International Journal of Computer & organization Trends(IJCOT) - Year 2013, Vol 3, Issue 8
Abstract
Face recognition issue gained more interest recently due to its various applications and the demand of high security. In this paper two Face Recognition techniques, Eigen-faces commonly called Principal Component Analysis (PCA) and Fisher-faces commonly called Linear Discriminant Analysis (LDA), are considered and implemented using MATLAB. The performance of the two techniques is then compared in facial recognition and detection tasks. The comparisons are done using a facial recognition database of 100 images captured over a range of poses, lighting conditions and occlusions
Authors and Affiliations
Raman Kumar , Satnam Singh
Keywords
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