An experimental evaluation of linear and kernel-based classifiers for face recognition

Abstract

This paper presents the results of a comparative study of linear and kernel-based methods for face recognition. We focus mainly on the experimental comparison of classification methods, i.e. Nearest Neighbor, Linear Support Vector Machine, Kernel based Nearest Neighbor and Nonlinear Support Vector Machine. Some interesting conclusions can be obtained after all of these methods are performed on two well-known database, i.e. ORL, YALE Face Database, respectively. © Springer-Verlag Berlin Heidelberg 2005.