ABSTRACT

Face recognition has been found to be the minimally invasive method among the available biometric identification schemes. It aims to identify or verify a person’s identity by matching input face image against the faces in a database. It is one of the important research areas due to its large practical applications. Most of the systems could well handle the images captured under controlled situations. But practical face recognition systems have a number of challenges as the real world images are captured under uncontrolled environments. These challenges are due to variations in orientations, expressions, occlusions, illumination conditions and image resolutions. In this paper, different methods used for face recognition in challenging environments in the literature are summarized