%0 Journal Article
%T AN EFFICIENT METHOD FOR FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS (PCA)
%A Gunjan Dashore
%A Dr. V.Cyril Raj
%J International Journal of Advanced Technology & Engineering Research
%D 2012
%I 
%X An Efficient method for face recognition using Principal Component Analysis (PCA). The PCA has been extensively employed for face recognition algorithms. It is one of the most popular representation methods for a face image. It not only reduces the dimensionality of the image, but also re-tains some of the variations in the image data. The system functions by projecting face image onto a feature space that spans the significant variations among known face images. The significant features are known as ˇ°Eigen facesˇ±, because they are the eigenvectors (Principal Component) of the set of faces they do not necessarily correspond to the features such as eyes, ears, and noses. The projection operation character-ize an individual face by a weighted sum of the Eigen faces features and so to recognize a particular face it is necessary only to compare these weights to those individuals.
%K Face recognition
%K Principal Component Analy-sis
%K Eigen faces
%K Eigenvectors.
%U http://www.ijater.com/Files/5b9da36e-410d-405b-813b-18aadd50f1ce_IJATER_03_05.pdf