Ms. C.B. Tatepamulwar, Dr. V. P. Pawar

ABSTRACT

Ideally a face detection system should be able to take a new face and return a name identifying that person. Mathematically, what possible approach would be robust and fairly computationally economical. If we have a database of people, every face has special features that define that person. One person may have a wider forehead, while another person has a scar on his right eyebrow from a rugby match as a young tuck. One technique may be to go through every person in the database and characterize it by these small features. Possible approach would be to take the face image as a whole identity. The goal of this paper is to extend the face recognition system to using dynamic inputs such as those obtained from CCTV cameras. This would involve detecting and tracking faces correctly in two or more cameras, pre-processing them and computing the disparity information prior to the identification stage.