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An Advance Approach of Face Recognition using PCA and Region Base Color Segmentation

by Santosh Kumar, Atul Chaudhary, Manish Mathuria, Kailash Rathore
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 17
Year of Publication: 2014
Authors: Santosh Kumar, Atul Chaudhary, Manish Mathuria, Kailash Rathore
10.5120/15726-4657

Santosh Kumar, Atul Chaudhary, Manish Mathuria, Kailash Rathore . An Advance Approach of Face Recognition using PCA and Region Base Color Segmentation. International Journal of Computer Applications. 89, 17 ( March 2014), 38-43. DOI=10.5120/15726-4657

@article{ 10.5120/15726-4657,
author = { Santosh Kumar, Atul Chaudhary, Manish Mathuria, Kailash Rathore },
title = { An Advance Approach of Face Recognition using PCA and Region Base Color Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 17 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number17/15726-4657/ },
doi = { 10.5120/15726-4657 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:32.190432+05:30
%A Santosh Kumar
%A Atul Chaudhary
%A Manish Mathuria
%A Kailash Rathore
%T An Advance Approach of Face Recognition using PCA and Region Base Color Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 17
%P 38-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automated face recognition has industrialized a major field of Interest Face Recognition is the typical process of identification of a individual by their facial image. This effective technique Making it possible to use the facial images of a person to authenticate him into a protected system, for criminal identification, for passport verification, entrance control in buildings, access control at automatic teller machines the experimentation involved Eigen faces and PCA (Principal Component Analysis). Recognition rate of 90% was achieved using combination of PCA and region base colour segmentation face recognition techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition PCA (Principal Component Analysis) and segmentation

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