Face Recognition
نویسندگان
چکیده
Face recognition has a wide variety of applications such as in identity authentication, access control and surveillance. There has been a lot of research on face recognition over the past few years. They have mainly dealt with different aspects of face recognition. Algorithms have been proposed to recognize faces beyond variations in viewpoint, illumination, pose and expression. This has led to increased and sophisticated techniques for face recognition and has further enhanced the literature on pattern classification. In this project, we study face recognition as a pattern classification problem. We do a survey and analysis of some popular pattern classification techniques such as principal component analysis and fisher linear discriminant analysis. More specifically, we consider four techniques in this work
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