The Face Recognition is wide research area where the image data have been analysis and recognize the correct matching data. The Face Recognition techniques haves major role in many biometric, Security and camera surveillance for security image video indexing from the video. The proposed work focused on the image which has to be correctly recoginised data using Principle Components of Analysis(PCA) techniques which extract the features and reduce dimensionality. The Principle Component Analysis method mainly used for the dimensionality reduction and due to that it will increase the computational efficiency. In this research work, the data has borrowed from the ORL Dataset. This data set has divided in two sets one is Training dataset another one is Testing database. The comparisions of these PCA feature vectors and projection image feature vector by applying on the Eculidean distance parameter for the result has to be found an expected output.
Volume 11 | 06-Special Issue
Pages: 1502-1509