Multibiometrics for face recognition

Raymond N.J. Veldhuis, Farzin Deravi, Q. Tao

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Fusion is a popular practice to combine multiple sources of biometric information to achieve systems with greater performance and flexibility. In this paper various approaches to fusion within a multibiometrics context are considered and an application to the fusion of 2D and 3D face information is discussed. An optimal method for fusing the accept/reject decisions of individual biometric sources by means of simple logical rules is presented. Experimental results on the FRGC 2D and 3D face data show that the proposed technique performs effectively without the need for score normalization.
    Original languageUndefined
    Article number10.1007/s11623-008-0033-8
    Pages (from-to)204-214
    Number of pages11
    JournalDatenschutz und Datensicherheit
    Volume32
    Issue number3
    DOIs
    Publication statusPublished - Mar 2008

    Keywords

    • METIS-255940
    • CR-I.5
    • IR-62236
    • EWI-12178
    • SCS-Safety
    • EC Grant Agreement nr.: FP6/026845

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