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Face Detection and Recognition Using Eigen Faces by Using PCA

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Executive Summary

In this paper, the authors 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 eigen-values and eigenvectors of the face images.

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