Biometric binary string generation with detection rate optimized bit allocation

C. Chen, Raymond N.J. Veldhuis, T.A.M. Kevenaar, A.H.M. Akkermans

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    22 Citations (Scopus)
    102 Downloads (Pure)

    Abstract

    Extracting binary strings from real-valued templates has been a fundamental issue in many biometric template protection systems. In this paper, we present an optimal bit allocation method (OBA). By means of it, a binary string at a pre-defined length with maximized overall detection rate is generated. Experiments with the binary strings and a Hamming distance classifier on FRGC and FERET databases show promising performance in terms of FAR and FRR.
    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
    Pages1-7
    Number of pages7
    ISBN (Print)978-1-4244-2340-8
    DOIs
    Publication statusPublished - 28 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

    • CR-I.5
    • SCS-Safety
    • EWI-14290
    • IR-65169
    • METIS-254940

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