Encrypting Fingerprint Minutiae Templates by Random Quantization View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Bian Yang , Davrondzhon Gafurov , Christoph Busch , Patrick Bours

ABSTRACT

An encryption method is proposed to use random quantization to generate diversified and renewable templates from fingerprint minutiae. The method first achieves absolute pre-alignment over local minutiae quadruplets (called minutiae vicinities) in the original template, resulting in a fixed-length feature vector for each vicinity; and second quantizes the feature vector into binary bits by random quantization; and last post-processes the resultant binary vector in a length tunable way to obtain a protected minutia. Experiments on the fingerprint database FVC2002DB2_A demonstrate the desirable biometric performance achieved by the proposed method. More... »

PAGES

515-522

References to SciGraph publications

  • 2007. Fuzzy Extractors for Minutiae-Based Fingerprint Authentication in ADVANCES IN BIOMETRICS
  • 2009-05. Biometric template protection in DATENSCHUTZ UND DATENSICHERHEIT - DUD
  • Book

    TITLE

    Networked Digital Technologies

    ISBN

    978-3-642-14291-8
    978-3-642-14292-5

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-14292-5_52

    DOI

    http://dx.doi.org/10.1007/978-3-642-14292-5_52

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1044758067


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