AN EFFICIENT FUSION STRATEGY FOR MULTIMODAL BIOMETRIC SYSTEM

Nitin Agrawal; Hunny Mehrotra; Phalguni Gupta; C. Jinshong Hwang

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Paper

AN EFFICIENT FUSION STRATEGY FOR MULTIMODAL BIOMETRIC SYSTEM

Topics: Face and Gesture Recognition

In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 178-183, 2007 , Barcelona, Spain

Authors: Nitin Agrawal ¹ ; Hunny Mehrotra ¹ ; Phalguni Gupta ¹ and C. Jinshong Hwang ²

Affiliations: ¹ Indian Institute of Technology Kanpur, India ; ² Texas State University, United States

Keyword(s): Face, Iris, Fusion, Support Vector Machines.

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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Paper citation in several formats:

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 (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 178-183. DOI: 10.5220/0002062001780183

@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 (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={178-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002062001780183},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - AN EFFICIENT FUSION STRATEGY FOR MULTIMODAL BIOMETRIC SYSTEM
SN - 978-972-8865-74-0
IS - 2184-4321
AU - Agrawal, N.
AU - Mehrotra, H.
AU - Gupta, P.
AU - Jinshong Hwang, C.
PY - 2007
SP - 178
EP - 183
DO - 10.5220/0002062001780183
PB - SciTePress