Spectral Minutiae Representations for Fingerprint Recognition

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    Abstract

    The spectral minutiae representation introduced in this paper is a novel method to represent a minutiae set as a fixed-length feature vector, which is invariant to translation, and in which rotation becomes translation that can be easily compensated for. These characteristics enable the combination of fingerprint recognition systems with a template protection scheme that requires a fixed-length feature vector as input. In this paper, we will first introduce the spectral minutiae representation scheme. Then we will present several biometric fusion approaches to improve the biometric system performance by combining multiple sources of biometric information. The algorithms are evaluated on the FVC2000-DB2 database and showed promising results.
    Original languageEnglish
    Title of host publication2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010)
    Place of PublicationPiscataway, NJ
    PublisherIEEE Computer Society
    Pages341-345
    Number of pages5
    ISBN (Print)978-1-4244-8378-5
    DOIs
    Publication statusPublished - Oct 2010
    Event2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010 - Technische Universitat Darmstadt, Darmstadt, Germany
    Duration: 15 Oct 201017 Oct 2010
    Conference number: 6

    Conference

    Conference2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010
    Abbreviated titleIIH-MSP
    CountryGermany
    CityDarmstadt
    Period15/10/1017/10/10

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    Keywords

    • IR-74550
    • SCS-Safety
    • EWI-18771
    • METIS-271123

    Cite this

    Xu, H., & Veldhuis, R. N. J. (2010). Spectral Minutiae Representations for Fingerprint Recognition. In 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010) (pp. 341-345). Piscataway, NJ: IEEE Computer Society. https://doi.org/10.1109/IIHMSP.2010.90