We study a pattern in the fingerprint called a crease, a kind of stripe which irregularly crosses the normal fingerprint patterns (ridges and valleys). Creases will cause spurious minutiae when using a conventional feature detection algorithm, and therefore decreases the recognition rate of fingerprint identification. By representing the crease using a parameterized rectangle, we design an optimal filter as a detector. We employ a multi-channel filtering framework to detect creases in different orientations. In each channel, PCA is used to extract a rectangle's parameters from the raw detected results. Our algorithm is demonstrated by experiments.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust crease detection in fingerprint images


    Beteiligte:
    Chenyu Wu, (Autor:in) / Jie Zhou, (Autor:in) / Zhao-qi Bian, (Autor:in) / Gang Rong, (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    2039082 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust Crease Detection in Fingerprint Images

    Wu, C. / Zhou, J. / Bian, Z.-Q. et al. | British Library Conference Proceedings | 2003


    Effect of Crease Orientation on Wrinkle-Crease Interaction in Thin Sheets

    Woo, K. / Jenkins, C. | British Library Conference Proceedings | 2009


    Crease Enhancement Diffusion

    Sole, A. F. / Lopez, A. / Sapiro, G. | British Library Online Contents | 2001


    Effect of Crease Orientation on Wrinkle-Crease Interaction in Thin Sheets

    Woo, Kyeongsik / Jenkins, Christopher | AIAA | 2009