An Efficient Biogeography Based Face Recognition Algorithm

DOI

10.2991/cse.2013.16How to use a DOI?

Keywords

Face Recognition, Biogeography Based Optimization, PCA, Gabor Filter

Abstract

Extracting the optimal features from images is always required in face recognition algorithm to achieve high accuracy. In this paper we have presented an efficient face recognition algorithm based on Biogeography Based Optimization (BBO). First we extract the features using the principal Component Analysis (PCA) after applying gabor filters and then we apply BBO to get the most desirable features. The proposed biogeography based face recognition algorithm is applied to search the most desirable features based on well defined fitness function. Performance analysis is performed using Olivetti Research Laboratory (ORL) face database. Performance results show that biogeography based face recognition algorithm generates better results than the original PCA technique with gabor filters.

Copyright

© 2013, 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  - Daya Gupta
AU  - Lavika Goel
AU  - Abhishek Abhishek
PY  - 2013/07
DA  - 2013/07
TI  - An Efficient Biogeography Based Face Recognition Algorithm
BT  - Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
SP  - 64
EP  - 67
SN  - 1951-6851
UR  - https://doi.org/10.2991/cse.2013.16
DO  - 10.2991/cse.2013.16
ID  - Gupta2013/07
ER  -