Human Face Recognition: An Eigenfaces Approach

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.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  -