CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

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
journal cover thumbnail

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
  3. Turk, M. and Pentland, A. , "Eigenfaces for recognition", J. Cogn. Neurosci. 3, 1991, 72–86
  4. Moghaddam, B. and Pentlad, A. , "Probabilistic visual learning for object representation", IEEE Trans. Patt. Anal. Mach. Intell. 19,1997, 696– 710
  5. Lin, S. H. , Kung, S. Y. , And Lin, L. J. , "Face recognition/ detection by probabilistic decision based neural network", IEEE Trans. Neural Netw. 8, 1997, 114–132
  6. Kelly, M. D. , "Visual identification of people by computer", Tech. rep. AI-130, Stanford AI Project, Stanford, CA.
  7. Samaria, F. And Young, S. , "HMM based architecture for face identification", Image Vis. Comput. 12, 1994, 537–583.
  8. Pentland, A. , Moghaddam, B. , Starner, T. , "View-based And modular eigenspaces for face recognition". Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, 1994.
  9. Marijeta Slavkovi?, Dubravka Jevti?, "Face recognition using Eigenface approach", Serbian Journal of Electrical Engineering, Vol. 9, No. 1, February 2012, 121-130
Index Terms

Computer Science
Information Sciences

Keywords

Face recognition PCA Eigenface Euclidean distance

Powered by PhDFocusTM