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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    Title :

    A Fingerprint Matching Scheme Based on Gradient Difference Compatibility


    Contributors:


    Publication date :

    2007-04-01


    Size :

    7696768 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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