This paper proposes a new minutiae-based fingerprint matching algorithm using a variation of the Generalized Hough Transform called MGHT, which allows variations in translation, rotation, scale, and some distortions of the fingerprints, with very low complexity. A simple local structure of the fingerprint is constructed to collect template data from a number of minutiae. The matching process is performed by voting for transformation parameters by using target fingerprint local structure to look up similar data in the template. The result with a strong peak in the parameter space is considered as a match. The algorithm is efficient, precise, and robust to noise. The test results on several images demonstrate the effectiveness of this fingerprint matching method.


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    Titel :

    A Fingerprint Matching Scheme Based on Gradient Difference Compatibility


    Beteiligte:


    Erscheinungsdatum :

    01.04.2007


    Format / Umfang :

    7696768 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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