Fuzzy Logic and Multi-biometric Fusion - An Overview

Fabian Maul, Naser Damer

Abstract

Fuzzy logic has been proposed to improve various aspects of multi-biometric applications including enhancements to the decision making of the application and the robustness to noisy data. This paper discusses recent work that utilized fuzzy logic techniques within the multi-biometric fusion problem. This discussion is presented under two categories, the type of authentication scenario and the nature of the fused data. The paper also presents an introduction to fuzzy logic and multi-biometric fusion. Based on the discussed works, this paper aims to establish current trends and research possibilities in this field.

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Paper Citation


in Harvard Style

Maul F. and Damer N. (2015). Fuzzy Logic and Multi-biometric Fusion - An Overview . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-076-5, pages 218-222. DOI: 10.5220/0005193302180222


in Bibtex Style

@conference{icpram15,
author={Fabian Maul and Naser Damer},
title={Fuzzy Logic and Multi-biometric Fusion - An Overview},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2015},
pages={218-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005193302180222},
isbn={978-989-758-076-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Fuzzy Logic and Multi-biometric Fusion - An Overview
SN - 978-989-758-076-5
AU - Maul F.
AU - Damer N.
PY - 2015
SP - 218
EP - 222
DO - 10.5220/0005193302180222