Face Recognition: A Survey

Face recognition has been one of the most interesting and important research fields in the past years. Face recognition presents a challenging problem in the field of image analysis and computer vision. The face of a human being conveys a lot of information about identity and emotional state of the person. Many public places usually have surveillance cameras for video capture and these cameras have their significant value for security purpose, identification for law enforcement, authentication for banking and security system access, and personal identification among others. Though tracking and recognizing face objects is a routine task for humans but it is difficult form a system to recognise different faces of human beings. In this paper we review existing methods of face recognition. Face recognition mainly consists of three parts, namely face representation, feature extraction and classification. Face representation represents how to model a face and determines the successive algorithms of detection and recognition. The most useful and unique features of the face image are extracted in the feature extraction phase. In the classification the face image is compared with the images from the database.