Face Recognition using Principle Component Analysis for Biometric Security System

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-9                      
Year of Publication : 2013
Authors : Raman Kumar , Satnam Singh

Citation 

Raman Kumar , Satnam Singh. "Face Recognition using Principle Component Analysis for Biometric Security System". International Journal of Engineering Trends and Technology (IJETT). V4(9):3771-3773 Sep 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

Face recognition is an application area where computer vision research is utilized in both military and commercial products. It is a process of identifying or verifying a person from an image and comparing the selected features from the image with a given database. This paper provides a critical survey of researches on image - based face recognition. The principle Component Analysis (PCA) technique of face recognition are comprehensively reviewed and discussed. Their strategies, advantages/disadvantages and performances are elaborated.

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Keywords
PCA, Face Recognition, Eigen face, Eigen value