A Gabor Pseudo Fisherface Based Face Recognition Algorithm for LSI Implementation

A face recognition algorithm for LSI implementation suitable for embedded applications is presented. Although many algorithms to recognize a face recently suggested have a relatively stable performance under the variety of environmental disturbances, the problem still lies on computational cost as well as memory usage. In this paper, we will propose an algorithm based on a "Pseudo Fisherface Matrix", which is derived from generic datasets and down-sampled Gabor features, which reduces these costs. We will compare performance of the proposed method with a traditional one based on Eigenface through FERET database. An experimental implementation demonstrated the proposed algorithm draws significant performance rations.