Binary Representations of Fingerprint Spectral Minutiae Features

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    18 Citations (Scopus)
    120 Downloads (Pure)

    Abstract

    A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary string is also required as input. The spectral minutiae representation is a method to represent a minutiae set as a fixed-length real-valued feature vector. In order to be able to apply the spectral minutiae representation with a template protection scheme, we introduce two novel methods to quantize the spectral minutiae features into binary strings: Spectral Bits and Phase Bits. The experiments on the FVC2002 database show that the binary representations can even outperformed the spectral minutiae real-valued features.
    Original languageUndefined
    Title of host publication20th International Conference on Pattern Recognition (ICPR 2010)
    PublisherIEEE Computer Society
    Pages1212-1216
    Number of pages5
    ISBN (Print)978-1-4244-7542-1
    DOIs
    Publication statusPublished - Aug 2010
    Event20th International Conference on Pattern Recognition 2010 - Istanbul Convention & Exhibition Centre, Istanbul, Turkey
    Duration: 23 Aug 201026 Aug 2010
    Conference number: 20
    https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16097

    Publication series

    Name
    PublisherIEEE Computer Society Press

    Conference

    Conference20th International Conference on Pattern Recognition 2010
    Abbreviated titleICPR 2010
    CountryTurkey
    CityIstanbul
    Period23/08/1026/08/10
    Internet address

    Keywords

    • METIS-271065
    • IR-73656
    • Fingerprints
    • SCS-Safety
    • EWI-18581
    • Template Protection
    • Biometrics

    Cite this

    Xu, H., & Veldhuis, R. N. J. (2010). Binary Representations of Fingerprint Spectral Minutiae Features. In 20th International Conference on Pattern Recognition (ICPR 2010) (pp. 1212-1216). IEEE Computer Society. https://doi.org/10.1109/ICPR.2010.302
    Xu, H. ; Veldhuis, Raymond N.J. / Binary Representations of Fingerprint Spectral Minutiae Features. 20th International Conference on Pattern Recognition (ICPR 2010). IEEE Computer Society, 2010. pp. 1212-1216
    @inproceedings{5d38dbab1c594c25bd7b99f8ea920fb8,
    title = "Binary Representations of Fingerprint Spectral Minutiae Features",
    abstract = "A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary string is also required as input. The spectral minutiae representation is a method to represent a minutiae set as a fixed-length real-valued feature vector. In order to be able to apply the spectral minutiae representation with a template protection scheme, we introduce two novel methods to quantize the spectral minutiae features into binary strings: Spectral Bits and Phase Bits. The experiments on the FVC2002 database show that the binary representations can even outperformed the spectral minutiae real-valued features.",
    keywords = "METIS-271065, IR-73656, Fingerprints, SCS-Safety, EWI-18581, Template Protection, Biometrics",
    author = "H. Xu and Veldhuis, {Raymond N.J.}",
    note = "10.1109/ICPR.2010.302",
    year = "2010",
    month = "8",
    doi = "10.1109/ICPR.2010.302",
    language = "Undefined",
    isbn = "978-1-4244-7542-1",
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    }

    Xu, H & Veldhuis, RNJ 2010, Binary Representations of Fingerprint Spectral Minutiae Features. in 20th International Conference on Pattern Recognition (ICPR 2010). IEEE Computer Society, pp. 1212-1216, 20th International Conference on Pattern Recognition 2010, Istanbul, Turkey, 23/08/10. https://doi.org/10.1109/ICPR.2010.302

    Binary Representations of Fingerprint Spectral Minutiae Features. / Xu, H.; Veldhuis, Raymond N.J.

    20th International Conference on Pattern Recognition (ICPR 2010). IEEE Computer Society, 2010. p. 1212-1216.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    N2 - A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary string is also required as input. The spectral minutiae representation is a method to represent a minutiae set as a fixed-length real-valued feature vector. In order to be able to apply the spectral minutiae representation with a template protection scheme, we introduce two novel methods to quantize the spectral minutiae features into binary strings: Spectral Bits and Phase Bits. The experiments on the FVC2002 database show that the binary representations can even outperformed the spectral minutiae real-valued features.

    AB - A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary string is also required as input. The spectral minutiae representation is a method to represent a minutiae set as a fixed-length real-valued feature vector. In order to be able to apply the spectral minutiae representation with a template protection scheme, we introduce two novel methods to quantize the spectral minutiae features into binary strings: Spectral Bits and Phase Bits. The experiments on the FVC2002 database show that the binary representations can even outperformed the spectral minutiae real-valued features.

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    Xu H, Veldhuis RNJ. Binary Representations of Fingerprint Spectral Minutiae Features. In 20th International Conference on Pattern Recognition (ICPR 2010). IEEE Computer Society. 2010. p. 1212-1216 https://doi.org/10.1109/ICPR.2010.302