The paper presents a novel approach to identify the minutiae present in a fingerprint image based on the analysis of the local properties. The typical patterns of minutiae called ridge termination and bifurcation are identified by studying the intensity along squared paths in the image. The presented algorithm works both on grey-level image and binarized image and, despite its simplicity, it achieves good accuracy and it can be a good candidate to be implemented in hardware or executed on simple hardware architectures, for example in biometric systems embedded in portable applications such as cellular phones and smart cards.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fingerprint local analysis for high-performance minutiae extraction


    Beteiligte:
    Gamassi, M. (Autor:in) / Piuri, V. (Autor:in) / Scotti, F. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    850728 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fingerprint local analysis for high-performance Minutiae extraction

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



    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 Minutiae Detection Based on Differential Code

    Shi, D. / Wang, W. / Zheng, J. et al. | British Library Online Contents | 2010