Enhancement of image quality is a key problem for automated fingerprint recognition systems, especially for minutiae-based analysis. In this paper, five enhancement algorithms, including three popular enhancement algorithms and two combined algorithms, were reviewed. The FVC2000 DB1 B was chosen as the testing database. An algorithm evaluating platform based on minutiae comparison was implemented. The performances of the five enhancement algorithms are evaluated in terms of False Match Rate (FMR) and False Non-Match Rate (FNMR) of the fingerprint recognition system. A guidance for the algorithm selection in fingerprint recognition system is drawn from the results.


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    Titel :

    Performance Evaluation of Fingerprint Enhancement Algorithms


    Beteiligte:
    Wang, Zhifang (Autor:in) / Chen, Shenghong (Autor:in) / Busch, Christoph (Autor:in) / Niu, Xiamu (Autor:in)


    Erscheinungsdatum :

    2008-05-01


    Format / Umfang :

    594337 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Fingerprint Verification Using Genetic Algorithms

    Tan, X. / Bhanu, B. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002


    Fingerprint verification using genetic algorithms

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    Adaptive fingerprint image enhancement with fingerprint image quality analysis

    Yun, E. K. / Cho, S. B. | British Library Online Contents | 2006


    Image Filter Design for Fingerprint Enhancement

    Kamei, T. / Mizoguchi, M. / IEEE; Computer Society; Technical Committee for Pattern Analysis and Machine Intelligence | British Library Conference Proceedings | 1995