Multi-bits biometric string generation based on the likelyhood ratio

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

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

    46 Citations (Scopus)
    83 Downloads (Pure)

    Abstract

    Preserving the privacy of biometric information stored in biometric systems is becoming a key issue. An important element in privacy protecting biometric systems is the quantizer which transforms a normal biometric template into a binary string. In this paper, we present a user-specific quantization method based on a likelihood ratio approach (LQ). The bits generated from every feature are concatenated to form a fixed length binary string that can be hashed to protect its privacy. Experiments are carried out on both fingerprint data (FVC2000) and face data (FRGC). Results show that our proposed quantization method achieves a reasonably good performance in terms of FAR/FRR (when FAR is 10−4, the corresponding FRR are 16.7% and 5.77% for FVC2000 and FRGC, respectively).
    Original languageUndefined
    Title of host publicationIEEE conference on Biometrics: Theory, Applications and Systems
    EditorsK.W. Bowyer, P.J. Flynn, V. Govindaraju, N. Ratha
    Place of PublicationLos Alamitos, CA, USA
    PublisherIEEE
    Pages1-6
    Number of pages6
    ISBN (Print)978-1-4244-1597-7
    DOIs
    Publication statusPublished - 29 Sep 2007
    EventFirst IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2007 - Washington, DC, USA
    Duration: 27 Sep 200729 Sep 2007

    Publication series

    Name
    PublisherIEEE
    NumberPaper P-NS

    Conference

    ConferenceFirst IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2007
    Period27/09/0729/09/07
    Other27-29 September 2007

    Keywords

    • SCS-Safety
    • METIS-245755
    • IR-61999
    • EWI-11335

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