Detection of cores in fingerprints with improved dimension reduction

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    In this paper, we present a statistical approach to core detection in fingerprint images that is based on the likelihood ratio, using models of variation of core templates and randomly chosen templates. Additionally, we propose an alternative dimension reduction method. Unlike standard linear discriminant analysis (LDA), this method is able to account for differences in both the mean and the covariance matrix of two classes. We show that the method is able to correctly detect the core position in 95% of the fingerprints.
    Original languageUndefined
    Title of host publication4th IEEE Benelux Signal Processing Symposium (SPS-2004)
    Place of Publicationsecretariat Delft
    PublisherIEEE Benelux Signal Processing Chapter
    Number of pages4
    Publication statusPublished - Apr 2004
    Event4th IEEE Benelux Signal Processing Symposium, SPS 2004 - Hilvarenbeek, Netherlands
    Duration: 15 Apr 200416 Apr 2004
    Conference number: 4


    Conference4th IEEE Benelux Signal Processing Symposium, SPS 2004
    Abbreviated titleSPS


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    • EWI-756

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