Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)

An Efficient Biogeography Based Face Recognition Algorithm

Authors
Daya Gupta, Lavika Goel, Abhishek Abhishek
Corresponding Author
Daya Gupta
Available Online July 2013.
DOI
https://doi.org/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.
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Proceedings
2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
978-90786-77-70-3
DOI
https://doi.org/10.2991/cse.2013.16How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/cse.2013.16
DO  - https://doi.org/10.2991/cse.2013.16
ID  - Gupta2013/07
ER  -