A majority of the existing fingerprint recognition algorithms are based on matching minutia features. Therefore, minutiae extraction is one of the critical steps in fingerprint verification algorithms. Poor quality fingerprint images lead to missing and spurious minutiae that degrate the performance of the matching system. We propose two new techniques for minutiae verification based on non-trivial gray level features. The proposed features intuitively represents the structual properties of the minutiae neighborhood leading to better classification. We use directionally selective steerable wedge filters to differentiate between minutiae and non-minutiae neighborhoods We also propose a second technique based on Gabor expansion that results in even better discrimination. We present an objective evaluation of both the algorithms.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Novel Approaches for Minutiae Verification in Fingerprint Images


    Beteiligte:
    Chikkerur, Sharat (Autor:in) / Govindaraju, Venu (Autor:in) / Pankanti, Sharath (Autor:in) / Bolle, Ruud (Autor:in) / Ratha, Nalini (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    281713 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Alignment-Based Algorithm of Fingerprint Minutiae Matching

    Fartukov, A. M. / Shereshevskii, D. I. | British Library Online Contents | 2005


    Articles - Minutiae Detection Algorithm for Fingerprint Recognition

    Espinosa-Duro, Virginia | Online Contents | 2002


    Fingerprint local analysis for high-performance Minutiae extraction

    Gamassi, M. / Piuri, V. / Scotti, F. | British Library Conference Proceedings | 2005


    Fingerprint Deformation Models Using Minutiae Locations and Orientations

    Chen, Yi / Dass, Sarat / Ross, Arun et al. | IEEE | 2005