Face Recognition Based on City-Block and Mahalanobis Cosine Distance

Abstract

In this paper we propose a new powerful face recognition method to increase the performance of face recognition algorithms. In our idea we integrate two dissimilarity measures namely City-block and Mahalanobis Cosine distance. The experiments are performed on the ORL database and YALE database. The results indicate the interest of the proposed technique compared to others methods of literature.