Hybrid Fusion for Biometrics: Combining Score-level and Decision-level Fusion

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    15 Citations (Scopus)
    262 Downloads (Pure)

    Abstract

    A general framework of fusion at decision level, which works on ROCs instead of matching scores, is investigated. Under this framework, we further propose a hybrid fusion method, which combines the score-level and decision-level fusions, taking advantage of both fusion modes. The hybrid fusion adaptively tunes itself between the two levels of fusion, and improves the final performance over the original two levels. The proposed hybrid fusion is simple and effective for combining different biometrics.
    Original languageUndefined
    Title of host publication2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Workshop on Biometrics
    Place of PublicationLos Alamitos
    PublisherIEEE Computer Society
    Pages1-6
    Number of pages6
    ISBN (Print)978-1-4244-2340-8
    DOIs
    Publication statusPublished - 24 Jun 2008
    Event2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2008 - Anchorage, United States
    Duration: 28 Jun 200828 Jun 2008

    Publication series

    Name
    PublisherIEEE Computer Society Press
    NumberWoTUG-31

    Workshop

    Workshop2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2008
    Abbreviated titleCVPR
    CountryUnited States
    CityAnchorage
    Period28/06/0828/06/08

    Keywords

    • EC Grant Agreement nr.: FP6/026845
    • CR-I.5
    • EWI-14288
    • METIS-254938
    • IR-65167
    • SCS-Safety

    Cite this