Spectral Minutiae Representations for Fingerprint Recognition

H. Xu

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    135 Downloads (Pure)


    Nowadays, biometric technology is increasingly deployed in civil and commercial applications. The growing use of biometrics is raising security and privacy concerns about the biometric technology. Storing biometric data, known as biometric templates, in a database leads to several privacy risks such as identity fraud and cross matching. A solution is to apply biometric template protection techniques, which aim to make it impossible to recover the biometric data from the templates. The research question addressed in this thesis is how to combine fingerprint recognition systems with template protection. To answer this question, this thesis introduces the Spectral Minutiae Representation method, which enables the combination of a minutiae-based fingerprint recognition system with template protection schemes based on fuzzy commitment or helper data schemes.
    Original languageEnglish
    Awarding Institution
    • University of Twente
    • Slump, Cornelis Herman, Supervisor
    • Veldhuis, Raymond N.J., Advisor
    Thesis sponsors
    Award date30 Sep 2010
    Place of PublicationEnschede
    Print ISBNs978-90-365-3080-4
    Publication statusPublished - 30 Sep 2010


    • Finger print
    • EWI-18572
    • METIS-271062
    • IR-73608
    • Biometrics
    • Biometric Template Protection
    • Minutiae matching


    Dive into the research topics of 'Spectral Minutiae Representations for Fingerprint Recognition'. Together they form a unique fingerprint.

    Cite this