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Fuzzy logic and multi-biometric fusion

An Overview
: Maul, Fabian; Damer, Naser


Marsico, Maria de (Ed.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
ICPRAM 2015, 4th International Conference on Pattern Recognition Applications and Methods. Proceedings. Vol.1 : 10 - 12 January 2015, Lisbon, Portugal
SciTePress, 2015
ISBN: 978-989-758-076-5
International Conference on Pattern Recognition Applications and Methods (ICPRAM) <4, 2015, Lisbon>
Fraunhofer IGD ()
fuzzy logic; biometric fusion; multi-biometrics; CRISP; Business Field: Visual decision support; Research Area: Computer vision (CV); Research Area: Human computer interaction (HCI)

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.