An Overview on Multi-biometric Score-level Fusion - Verification and Identification

Naser Damer, Alexander Opel, Andreas Shahverdyan

2013

Abstract

Multi-biometrics is the use of multiple biometric recognition sources to provide a more dependable verification or identification decision. Fusion of multi-biometric sources can be performed on different levels, such as the data, feature, or score level. This work presents an overview of the multi-biometric score-level fusion problem, along with the proposed solution in the literature. A discussion is made to provide a comparison between multi-biometric fusion in both scenarios. This discussion aims at providing a clearer view of future developments especially under the identification scenario where many related applications are rapidly growing such as forensics and ubiquitous surveillance.

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Paper Citation


in Harvard Style

Damer N., Opel A. and Shahverdyan A. (2013). An Overview on Multi-biometric Score-level Fusion - Verification and Identification . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: BTSA, (ICPRAM 2013) ISBN 978-989-8565-41-9, pages 647-653. DOI: 10.5220/0004358306470653


in Bibtex Style

@conference{btsa13,
author={Naser Damer and Alexander Opel and Andreas Shahverdyan},
title={An Overview on Multi-biometric Score-level Fusion - Verification and Identification},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: BTSA, (ICPRAM 2013)},
year={2013},
pages={647-653},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004358306470653},
isbn={978-989-8565-41-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: BTSA, (ICPRAM 2013)
TI - An Overview on Multi-biometric Score-level Fusion - Verification and Identification
SN - 978-989-8565-41-9
AU - Damer N.
AU - Opel A.
AU - Shahverdyan A.
PY - 2013
SP - 647
EP - 653
DO - 10.5220/0004358306470653