Face Recognition under Difficult Lighting Conditions and Occlusions

In recent years face recognition has received substantial attention from researchers in biometrics, pattern recognition, and computer vision communities. At least two reasons account for this trend: the first is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies in recent years of research. Many existing methods in face recognition area perform well under certain conditions, but still facing challenging with illumination changes and occlusions. This paper attempts to deal with the above challenges by combining robust illumination normalization techniques with powerful feature extraction method.