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10808 Optimal decision fusion and its application on 3D face recognition

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Tao, Q. and van Rootseler, R.T.A. and Veldhuis, R.N.J. and Gehlen, S. and Weber, F. (2007) Optimal decision fusion and its application on 3D face recognition. In: Proceedings of the Special Interest Group on Biometrics and Electronic Signatures, 12-13 Jul 2007, Darmstadt, Germany. pp. 15-24. GI-Edition. Gesellschaft fur Informatik e.V.. ISSN 1617-5468 ISBN 978-3-88579-202-4

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Abstract

Fusion is a popular practice to combine multiple classifiers or multiple modalities in biometrics. In this paper, optimal decision fusion (ODF) by AND rule and
OR rule is presented. We show that the decision fusion can be done in an optimal way such that it always gives an improvement in terms of error rates over the classifiers
that are fused. Both the optimal decision fusion theory and the experimental results on the FRGC 2D and 3D face data are given. Experiments show that the optimal decision
fusion effectively combines the 2D texture and 3D shape information, and boosts the performance of the system.

Item Type:	Conference or Workshop Paper (Full Paper, Talk)
Research Group:	EWI-SAS: Signals and Systems
Research Program:	CTIT-ISTRICE: Integrated Security and Privacy in a Networked World
Research Project:	Freeband/PNP2008: Development of a user centric ambient communication environment
ID Code:	10808
Status:	Published
Deposited On:	08 November 2007
Refereed:	Yes
International:	Yes
More Information:	statistics metis

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