Gradientface based Face Recognition Using R

Face recognition is an important research field that attracts attention for more than two decades. The field reached a certain level of maturity so that face recognition systems are encountered in a wide area of applications ranging from surveillance systems to user authentication in laptops. However, it is still an active research topic due to the complexities, such as lighting conditions, pose of the head, facial expression and possible occlusions, confronted in different applications. Gradientface [Zhang2009] is a recently proposed feature extraction method that provides robustness to illumination changes. It yields significant performance improvements over canonical eigenface [Turk1991] and fisherface [Belhumeur1997] approaches.