Optimal decision fusion for a face verification system

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    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.
    Original languageEnglish
    Title of host publicationProceedings of the 2nd International Conference on Biometrics
    EditorsL. Seong-Whan, Z.L. Stan
    Place of PublicationBerlin Heidelberg
    Number of pages10
    ISBN (Print)978-3-540-74548-8
    Publication statusPublished - 27 Aug 2007
    Event2nd International Conference on Biometrics, ICB 2007 - Seoul, Korea, Republic of
    Duration: 27 Aug 200729 Aug 2007
    Conference number: 2

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Conference2nd International Conference on Biometrics, ICB 2007
    Abbreviated titleICB
    Country/TerritoryKorea, Republic of


    • SCS-Safety
    • METIS-241889
    • EWI-11018
    • IR-64333


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