Face Recognition by PCA Technique

Abstract

Face recognition is one of the most active research areas in computer vision and pattern recognition with practical applications. This work proposes an appearance based eigenface technique. PCA is used in extracting the relevant information in human faces. In this method the eigenvectors of the set of training images are calculated which define the face space. Face images are projected on to the face space which encodes the variation among known face images. These encoded variations are used for recognition. Experiments are carried on IndianFace Database; the obtained recognition rate is 92.30%. The same training set is tested with nonface database.