A Statistical Dimensional Reduction Approach for Face Recognition

The goal of this paper is to present a critical survey of existing literatures on human face recognition over the past years. Interest and research activities in face recognition have increased significantly over the past few years. The growth of face recognition is largely driven by growing application demands, such as static matching of controlled photographs as in mug shots matching, credit card verification to surveillance video images, identification for law enforcement and authentication for banking and security system access, advances in signal analysis techniques, such as wavelets and neural networks, are also important catalysts. The number of proposed techniques increases and it is very useful for the proposed system.