Face Recognition via GroupWise Registration Method

There are various efficient systems to recognize faces from images by some real time variations. Face recognition cycle starts with capturing of an individual's face (normally either by surveillance cameras, web cameras, still cameras or captured pictures). The captured image is manipulated by a various combination of algorithms and neural networks technology for matching face prints against others stored images in a populated backend database. As comparisons are made, then the system assigns a unique value to comparison using a predetermined threshold, and match is declared. Now days this form of face recognition is used make accurate facial matches. Currently, this technique is being implemented in airports parks, arenas and other famous tourist locations. In this paper, I propose a linear approach, known as pixel matching, for face recognition, for this I used new technique Markov random field based group wise registration.