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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fingerprint local analysis for high-performance minutiae extraction


    Contributors:
    Gamassi, M. (author) / Piuri, V. (author) / Scotti, F. (author)


    Publication date :

    2005-01-01


    Size :

    850728 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Fingerprint local analysis for high-performance Minutiae extraction

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



    Fingerprint Minutiae Detection Based on Differential Code

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


    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