Face Recognition System using Eigen Vector Technique for Person Authentication

Project Description

Eigenfaces is the name given to a set of eigenvectors when they are used in the computer vision problem of human face recognition The Principal Component Analysis (PCA) is one of the most successful techniques that have been used in image recognition and compression. PCA is a statistical method under the broad title of factor analysis. In our project we do face recognition technique implemented using PCA eigen for analyzing accuracy of system in field of security or identification. Face is a complex multidimensional structure and needs a good computing techniques for recognition. Our approach treats face recognition as a two-dimensional recognition problem. In this scheme face recognition is done by Principal Component Analysis (PCA)Face images are projected onto a face space that encodes best variation among known face images.