Comparative Analysis of Face Recognition Approaches: A Survey

ABSTRACT In recent days, the need of biometric security system is heightened for providing safety and security against terrorist attacks, robbery, etc. The demand of biometric system has risen due to its strength, efficiency and easy availability. One of the most effective, highly authenticated and easily adaptable biometric security systems is facial feature recognition. This paper h a s covered almost all the techniques for face recognition approaches. It also covers the relative analysis between all the approaches which are useful in face recognition. Consideration of merits and demerits of all techniques is done and recognition rates of all the techniques are also compared. General Terms Image Processing, Computer Vision and Pattern Recognition. Keywords Still Face Recognition, Video Face Recognition, Biometric System. 1. INTRODUCTION In recent advance in computer vision, pattern recognition and image processing, face recognition is one of the most popular research topics. The reason behind this is that among the various biometric security systems based on finger print, iris, voice or speech, signature, etc., face recognition seems to be the most universal, non-intrusive, and accessible system. It is easy to use, can be used efficiently for mass scanning which is quite difficult in case of other biometrics, and also increases user-friendliness in human-computer interaction. Moreover, its wide range of surveillance, access control and law enforcement applications and availability of executable technologies after vigorous research in last few decades has made it gain significant attention. This paper provides the techniques used for face recognition in last few decades, its present scenario, and comparison of these techniques. Finally this paper concludes by proposing the possible future advancements.