M.E. First year CSE

In this paper we propose a face recognition system based on Eigen faces. There has been significant progress in improving the performance of computer-based face recognition algorithms over the last decade. Although algorithms have been tested and compared extensively with each other, there has been remarkably little work comparing the accuracy of computer-based face recognition systems with humans. Given an image the goal of a face detection algorithm is to detect a human face and that of a face recognition algorithm is to match it against a known face database. The face detection algorithm works by locating eyes in the image and the face recognition algorithm uses Principal Component Analysis to calculate eigenvalues and eigenvectors of the face images. This paper discusses a generic framework for the face recognition system, and the variants that are frequently encountered by the face recognizer. It also discusses the requirements of a robust face recognition system. Also face detection algorithm based on eye-analogue segmentation and recognition algorithm based on Eigen-space have been developed by us. 1