doi: 10.7763/IJCTE.2010.V2.213
Face Recognition Using Eigen Faces and Artificial Neural Network
Mayank Agarwal
,
Nikunj Jain ,
Manish Kumar ,
Himanshu Agrawal
- Institute of Information Technology University, Noida,India.
Abstract
Face is a complex multidimensional visual model and developing a computational model for face recognition is difficult. The paper presents a methodology for face recognition based on information theory approach of coding and decoding the face image. Proposed methodology is connection of two stages – Feature extraction using principle component analysis and recognition using the feed forward back propagation Neural Network. The algorithm has been tested on 400 images (40 classes). A recognition score for test lot is calculated by considering almost all the variants of feature extraction. The proposed methods were tested on Olivetti and Oracle Research Laboratory (ORL) face database. Test results gave are cognition rate of 97.018%
Keywords
- Face recognition
- Principal component analysis (PCA)
- Artificial Neural network (ANN)
- Eigenvector
- Eigenface
How to Cite
Mayank Agarwal, Nikunj Jain, Manish Kumar, and Himanshu Agrawal, "Face Recognition Using Eigen Faces and Artificial Neural Network," International Journal of Computer Theory and Engineering, vol. 2, no. 4, pp. 624-629, 2010. https://doi.org/10.7763/IJCTE.2010.V2.213
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).