Spectral minutiae representations of fingerprints enhanced by quality data

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    Many fingerprint recognition systems are based on minutiae matching. However, the recognition accuracy of minutiae-based matching algorithms is highly dependent on the fingerprint minutiae quality. Therefore, in this paper, we introduce a quality integrated spectral minutiae algorithm, in which the minutiae quality information is incorporated to enhance the performance of the spectral minutiae fingerprint recognition system. In our algorithm, two types of quality data are used. The first one is the minutiae reliability, expressing the probability that a given point is indeed a minutia; the second one is the minutiae location accuracy, quantifying the error on the minutiae location. We integrate these two types of quality information into the spectral minutiae representation algorithm and achieve a decrease in the Equal Error Rate of over 20% in the experiment.
    Original languageUndefined
    Title of host publicationBiometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on
    Place of PublicationWashington DC
    Number of pages5
    ISBN (Print)978-1-4244-5020-6
    Publication statusPublished - Sept 2009
    Event3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009 - Washington, United States
    Duration: 28 Sept 200930 Sept 2009
    Conference number: 3

    Publication series

    PublisherIEEE Computer Society Press


    Conference3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009
    Abbreviated titleBTAS
    Country/TerritoryUnited States


    • IR-68979
    • SCS-Safety
    • EWI-17020
    • METIS-264249

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