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Reseach Article

Article:A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique

by Srinivasulu Asadi, Dr.Ch.D.V.Subba Rao, V.Saikrishna
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 8
Year of Publication: 2010
Authors: Srinivasulu Asadi, Dr.Ch.D.V.Subba Rao, V.Saikrishna
10.5120/1502-2019

Srinivasulu Asadi, Dr.Ch.D.V.Subba Rao, V.Saikrishna . Article:A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique. International Journal of Computer Applications. 10, 8 ( November 2010), 17-21. DOI=10.5120/1502-2019

@article{ 10.5120/1502-2019,
author = { Srinivasulu Asadi, Dr.Ch.D.V.Subba Rao, V.Saikrishna },
title = { Article:A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 8 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number8/1502-2019/ },
doi = { 10.5120/1502-2019 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:11.113201+05:30
%A Srinivasulu Asadi
%A Dr.Ch.D.V.Subba Rao
%A V.Saikrishna
%T Article:A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 8
%P 17-21
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automated face recognition has become a major field of interest. Face recognition algorithms are used in a wide range of applications viz., security control, crime investigation, and entrance control in buildings, access control at automatic teller machines, passport verification, identifying the faces in a given databases. This paper discusses different face recognition techniques by considering different test samples. The experimentation involved the use of Eigen faces and PCA (Principal Component Analysis). Another method based on Cross-Correlation in spectral domain has also been implemented and tested. Recognition rate of 90% was achieved for the above mentioned face recognition techniques.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Principal Component Analysis Cross-Correlation Technique