Published Paper Details:

Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come from the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and the design of human-computer interface, etc. These researches involve knowledge and researchers from disciplines such as neuroscience, psychology, computer vision, pattern recognition, image processing, and machine learning, etc. In this paper, we will have a study of most recently methods for face recognition is fisher faces. One of the approach is eigenface, fisher faces and other one is the elastic bunch graph matching. Face recognition issue gained more interest recently due to its various applications and the demand of high security. Some researches with contradicting results were published concerning this issue. This paper is based on popular face recognition projection methods: fisher faces.