ABSTRACT

Face recognition technology is an important research topic in the field of computer vision and pattern recognition and have a broad application prospect in the field of identity authentication, intelligent surveillance, human-computer interaction [1]. In recent years, face recognition technology has got great development, face recognition system under standard conditions have reached a satisfactory level, however, when applied to the actual environments, due to the influence of illumination, pose the complexity, diversity and other factor expression, the effect is often unsatisfactory [2]. This article mainly talks about improving the recognition rate of face recognition system in the side of the complex illumination.