AN EFFICIENT FUSION STRATEGY FOR MULTIMODAL BIOMETRIC SYSTEM
Nitin Agrawal, Hunny Mehrotra, Phalguni Gupta, C. Jinshong Hwang
2007
Abstract
This paper proposes an efficient multi-step fusion strategy for multimodal biometric system. Fusion is done at two stages i.e., algorithm level and modality level. At algorithm level the important steps involved are normalization, data elimination and assignment of static and dynamic weights. Further, the individual recognizers are combined using sum of scores technique. Finally the integrated scores from individual traits are passed to decision module. Fusion at decision level is done using Support Vector Machines (SVM). The SVM is trained by the set of matching scores and it classifies the data into two known classes i.e., genuine and imposters. The system is tested on database collected for 200 individuals and is showing a considerable increase in accuracy (overall accuracy 98.42%) compared to individual traits.
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in Harvard Style
Agrawal N., Mehrotra H., Gupta P. and Jinshong Hwang C. (2007). AN EFFICIENT FUSION STRATEGY FOR MULTIMODAL BIOMETRIC SYSTEM . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 178-183. DOI: 10.5220/0002062001780183
in Bibtex Style
@conference{visapp07,
author={Nitin Agrawal and Hunny Mehrotra and Phalguni Gupta and C. Jinshong Hwang},
title={AN EFFICIENT FUSION STRATEGY FOR MULTIMODAL BIOMETRIC SYSTEM},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={178-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002062001780183},
isbn={978-972-8865-74-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - AN EFFICIENT FUSION STRATEGY FOR MULTIMODAL BIOMETRIC SYSTEM
SN - 978-972-8865-74-0
AU - Agrawal N.
AU - Mehrotra H.
AU - Gupta P.
AU - Jinshong Hwang C.
PY - 2007
SP - 178
EP - 183
DO - 10.5220/0002062001780183