Face classification via sparse approximations
Elena Battini Sönmez, Bülent Sankur, Songül Albayrak · 2011
2D face classification problem is very difficult because of the illumination, pose, expression and occlusion factor. The sparse Representation based classification (SRC) provides a significant amount of robustness against to illumination changes and noise. In this study, sparse approximation is used on face recognition and applied to “Extended Yale Face B” database. Results of sparse approximation classification are compared with Fisher Linear Discriminator.