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Abstract

Mauricio Villegas, Roberto Paredes. Comparison of Illumination Normalization Methods for Face Recognition. Third COST 275 Workshop - Biometrics on the Internet, 2005. Mauro Falcone, Aladdin Ariyaeenia, Andrea Paoloni (Editors). pp. 27-30. OPOCE.

Illumination invariance is one of the most difficult properties to achieve in a face recognition system. Illumination normalization is a way to solve this problem. In this paper we compare several illumination normalization techniques, including traditional and proposed ones. An error rate less than 1% is achieved using the Yale Face Database B.