Facial Recognition Using Eigenfaces Approach
Mohd Noah A. Rahman, Armanadurni Abd Rahman, Afzaal H. Seyal, Nursuziana Kamarudin
Mohd Noah A. Rahman
Available Online January 2014.
- https://doi.org/10.2991/gecss-14.2014.88How to use a DOI?
- eigenfaces, face recognition, principal component analysis
- Face recognition has been researched extensively since the early 1950s and it is still an evolving domain for research. However, this application is relatively new in this country as compared to other biometric identifications. This paper seeks to find out the success rate of detection and recognition of the human faces using the eigenfaces method of the principal component analysis. It was conducted using the PCA algorithm on eigenfaces on 30 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Mohd Noah A. Rahman AU - Armanadurni Abd Rahman AU - Afzaal H. Seyal AU - Nursuziana Kamarudin PY - 2014/01 DA - 2014/01 TI - Facial Recognition Using Eigenfaces Approach BT - 2014 International Conference on Global Economy, Commerce and Service Science (GECSS-14) PB - Atlantis Press SP - 349 EP - 351 SN - 1951-6851 UR - https://doi.org/10.2991/gecss-14.2014.88 DO - https://doi.org/10.2991/gecss-14.2014.88 ID - Rahman2014/01 ER -