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.
- 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/).
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 -