Generating and analyzing synthetic finger vein images

Fieke Hillerström, Ajay Kumar, Raymond N.J. Veldhuis

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    Abstract

    Abstract: The finger-vein biometric offers higher degree of security, personal privacy and strong anti-spoofing capabilities than most other biometric modalities employed today. Emerging privacy concerns with the database acquisition and lack of availability of large scale finger-vein database have posed challenges in exploring this technology for large scale applications. This paper details the first such attempt to synthesize finger-vein images and presents analysis of synthesized images for the biometrics authentication. We generate a database of 50,000 finger vein images, corresponding to 5000 different subjects, with 10 different synthesized finger-vein images from each of the subject. We use tractable probability models to compare synthesized finger-vein images with the real finger- vein images for their image variability. This paper also presents matching accuracy using the synthesized finger-vein database from 5000 different subjects, using 225000 genuine and 1249750000 impostor matching scores, which suggests significant promises from this finger-vein biometric modality for large scale biometrics applications.
    Original languageUndefined
    Title of host publicationProceedings of the 13th International Conference of the Biometrics Special Interest Group, BIOSIG 2014
    Place of PublicationBonn
    PublisherGesellschaft für Informatik
    Pages121-132
    Number of pages12
    ISBN (Print)978-3-88579-624-4
    Publication statusPublished - 10 Sep 2014
    Event13th International Conference of the Biometrics Special Interest Group, BIOSIG 2014 - Darmstadt, Germany
    Duration: 10 Sep 201412 Sep 2014
    Conference number: 13

    Publication series

    NameLecture Notes in Informatics (LNI)
    PublisherGesellschaft für Informatik
    VolumeP-230
    ISSN (Print)1617-5468

    Conference

    Conference13th International Conference of the Biometrics Special Interest Group, BIOSIG 2014
    Abbreviated titleBIOSIG 2014
    CountryGermany
    CityDarmstadt
    Period10/09/1412/09/14

    Keywords

    • EWI-25067
    • SCS-Safety
    • synthetic vein patterns
    • METIS-306026
    • Biometrics
    • Finger vein recognition
    • IR-91810

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