EEMCS

Home > Publications
Home University of Twente
Education
Research
Prospective Students
Jobs
Publications
Intranet (internal)
 
 Nederlands
 Contact
 Sitemap
 Search
 Organisation

EEMCS EPrints Service


11018 Optimal decision fusion for a face verification system
Home Policy Brochure Browse Search User Area Contact Help

Tao, Q. and Veldhuis, R.N.J. (2007) Optimal decision fusion for a face verification system. In: Proceedings of the 2nd International Conference on Biometrics, 27-29 Aug 2007, Seoul, Korea. pp. 958-967. Image Processing, Computer Vision, Pattern Recognition. Springer Verlag. ISSN 0302-9743 ISBN 978-3-540-74548-8

Full text available as:

PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
355 Kb

Official URL: http://dx.doi.org/10.1007/978-3-540-74549-5_100

Exported to Metis

Abstract

Fusion is a popular practice to increase the reliability of the biometric verification. In this paper, optimal fusion at decision level by AND rule and OR rule is investigated. Both a theoretical analysis and the experimental results are
given. Comparisons are presented between fusion at decision level and fusion at matching score level. For our face verification system, decision fusion proves to be a simple, practical, and effective approach, which significantly improves the performance of the original classifier.

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
Additional Information:SAS 28-07
ID Code:11018
Status:Published
Deposited On:05 October 2007
Refereed:Yes
International:Yes
More Information:statisticsmetis

Export this item as:

To correct this item please ask your editor

Repository Staff Only: edit this item