Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network

DOI

10.2991/ijcis.2010.3.5.6How to use a DOI?

Keywords

Face recognition, Feature extraction, State space parameters, Fractal dimension, Artificial Neural Network, and Pattern Classification.

Abstract

The paper reports a study of nonlinear nature of face image. A novel feature extraction method using state space feature parameter for the recognition of face images is studied. The results of simulation experiments performed on the standard AT & T face database using both Artificial Neural Network and K-Nearest Neighbour recognition algorithms based on Nonlinear Feature Parameter (NLFP) is also presented. Overall recognition accuracy obtained is better for ANN algorithm and is 98.5%.

Copyright

© 2010, 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  - JOUR
AU  - N.K. Narayanan
AU  - V. Kabeer
PY  - 2010
DA  - 2010/10/01
TI  - Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network
JO  - International Journal of Computational Intelligence Systems
SP  - 566
EP  - 574
VL  - 3
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.5.6
DO  - 10.2991/ijcis.2010.3.5.6
ID  - Narayanan2010
ER  -