Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics

Human Face Recognition: An Eigenfaces Approach

Authors
ArmanadurniAbd Rahman, Mohd Noah A. Rahman, SitiNoorfatimah Safar, Nursuziana Kamruddin
Corresponding Author
ArmanadurniAbd Rahman
Available Online January 2014.
Keywords
Eigenfaces, Face Recognition (FR), Principal Component Analysis (PCA)
Abstract
Face recognition is an ever changing and evolving domain for research. However, the application of face recognition is still new and not commonly used in this country as opposed to other biometric identifications. This paper seeks to find out the effectiveness and weaknesses of face recognition approach known as the eigenfaces. It was conducted using the PCA algorithm on eigenfaces on 35 students using different images stored in a training database. From the experiment conducted, the PCA eigenfaces approach is able to deliver and produce high accuracy results. It can recognize faces in a single static, multiple static and dynamic images.
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Volume Title
Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics
Series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-94-6252-000-4
ISSN
1951-6851
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - ArmanadurniAbd Rahman
AU  - Mohd Noah A. Rahman
AU  - SitiNoorfatimah Safar
AU  - Nursuziana Kamruddin
PY  - 2014/01
DA  - 2014/01
TI  - Human Face Recognition: An Eigenfaces Approach
BT  - Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics
PB  - Atlantis Press
SP  - 47
EP  - 50
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/11356
ID  - Rahman2014/01
ER  -