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Identification of Best Suitable Samples for Training Database for Face Recognition using Principal Component Analysis with Eigenface Method

by Divyakant T. Meva, C. K. Kumbharana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 12
Year of Publication: 2015
Authors: Divyakant T. Meva, C. K. Kumbharana
10.5120/20206-2463

Divyakant T. Meva, C. K. Kumbharana . Identification of Best Suitable Samples for Training Database for Face Recognition using Principal Component Analysis with Eigenface Method. International Journal of Computer Applications. 115, 12 ( April 2015), 24-26. DOI=10.5120/20206-2463

@article{ 10.5120/20206-2463,
author = { Divyakant T. Meva, C. K. Kumbharana },
title = { Identification of Best Suitable Samples for Training Database for Face Recognition using Principal Component Analysis with Eigenface Method },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 12 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number12/20206-2463/ },
doi = { 10.5120/20206-2463 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:51.570058+05:30
%A Divyakant T. Meva
%A C. K. Kumbharana
%T Identification of Best Suitable Samples for Training Database for Face Recognition using Principal Component Analysis with Eigenface Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 12
%P 24-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Security is one of the most important aspects in today's computer environment. Especially, person authentication now a day is necessary to maintain security of computer based systems. Biometric authentication methods are becoming popular since last decade. Face recognition is one of the mature and popular biometric authentication methods. Today, with this paper, discussion on identifying best suitable samples for generating training database has been done. PCA based face recognition approach using Eigenface method has been discussed for the said purpose.

References
  1. Divyakant Meva, CK Kumbharana, Amit Kothari, " The study of adoption of neural network approach in fingerprint recognition", International Journal of Computer Applications, Volume 40– No. 11, February 2012, pp. 8-11
  2. Divyakant Meva, CK Kumbharana, "Study of different trends and techniques in face recognition", International Journal of Computer Applications, Volume 96– No. 8, June 2014, pp. 1-4
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Index Terms

Computer Science
Information Sciences

Keywords

Face recognition PCA Eigenface Euclidean distance

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