Binary Biometric Representation through Pairwise Polar Quantization

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    12 Citations (Scopus)

    Abstract

    Binary biometric representations have great significance for data compression and template protection. In this paper, we introduce pairwise polar quantization. Furthermore, aiming to optimize the discrimination between the genuine Hamming distance (GHD) and the imposter Hamming distance (IHD), we propose two feature pairing strategies: the long-short (LS) strategy for phase quantization, as well as the long-long (LL) strategy for magnitude quantization. Experimental results for the FRGC face database and the FVC2000 fingerprint database show that phase bits provide reasonably good performance, whereas magnitude bits obtain poor performance.
    Original languageUndefined
    Title of host publicationAdvances in Biometrics
    EditorsM. Tistarelli, M. Nixon
    Place of PublicationBerlin
    PublisherSpringer
    Pages72-81
    Number of pages10
    ISBN (Print)978-3-642-01792-6
    DOIs
    Publication statusPublished - Jun 2009

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Number5558
    Volume5558

    Keywords

    • METIS-264247
    • Biometrics
    • SCS-Safety
    • Template Protection
    • EWI-17015
    • IR-68946

    Cite this

    Chen, C., & Veldhuis, R. N. J. (2009). Binary Biometric Representation through Pairwise Polar Quantization. In M. Tistarelli, & M. Nixon (Eds.), Advances in Biometrics (pp. 72-81). [10.1007/978-3-642-01793-3_8] (Lecture Notes in Computer Science; Vol. 5558, No. 5558). Berlin: Springer. https://doi.org/10.1007/978-3-642-01793-3_8
    Chen, C. ; Veldhuis, Raymond N.J. / Binary Biometric Representation through Pairwise Polar Quantization. Advances in Biometrics. editor / M. Tistarelli ; M. Nixon. Berlin : Springer, 2009. pp. 72-81 (Lecture Notes in Computer Science; 5558).
    @inbook{45d7f7640049420083f00f96126287ee,
    title = "Binary Biometric Representation through Pairwise Polar Quantization",
    abstract = "Binary biometric representations have great significance for data compression and template protection. In this paper, we introduce pairwise polar quantization. Furthermore, aiming to optimize the discrimination between the genuine Hamming distance (GHD) and the imposter Hamming distance (IHD), we propose two feature pairing strategies: the long-short (LS) strategy for phase quantization, as well as the long-long (LL) strategy for magnitude quantization. Experimental results for the FRGC face database and the FVC2000 fingerprint database show that phase bits provide reasonably good performance, whereas magnitude bits obtain poor performance.",
    keywords = "METIS-264247, Biometrics, SCS-Safety, Template Protection, EWI-17015, IR-68946",
    author = "C. Chen and Veldhuis, {Raymond N.J.}",
    note = "10.1007/978-3-642-01793-3_8",
    year = "2009",
    month = "6",
    doi = "10.1007/978-3-642-01793-3_8",
    language = "Undefined",
    isbn = "978-3-642-01792-6",
    series = "Lecture Notes in Computer Science",
    publisher = "Springer",
    number = "5558",
    pages = "72--81",
    editor = "M. Tistarelli and M. Nixon",
    booktitle = "Advances in Biometrics",

    }

    Chen, C & Veldhuis, RNJ 2009, Binary Biometric Representation through Pairwise Polar Quantization. in M Tistarelli & M Nixon (eds), Advances in Biometrics., 10.1007/978-3-642-01793-3_8, Lecture Notes in Computer Science, no. 5558, vol. 5558, Springer, Berlin, pp. 72-81. https://doi.org/10.1007/978-3-642-01793-3_8

    Binary Biometric Representation through Pairwise Polar Quantization. / Chen, C.; Veldhuis, Raymond N.J.

    Advances in Biometrics. ed. / M. Tistarelli; M. Nixon. Berlin : Springer, 2009. p. 72-81 10.1007/978-3-642-01793-3_8 (Lecture Notes in Computer Science; Vol. 5558, No. 5558).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    TY - CHAP

    T1 - Binary Biometric Representation through Pairwise Polar Quantization

    AU - Chen, C.

    AU - Veldhuis, Raymond N.J.

    N1 - 10.1007/978-3-642-01793-3_8

    PY - 2009/6

    Y1 - 2009/6

    N2 - Binary biometric representations have great significance for data compression and template protection. In this paper, we introduce pairwise polar quantization. Furthermore, aiming to optimize the discrimination between the genuine Hamming distance (GHD) and the imposter Hamming distance (IHD), we propose two feature pairing strategies: the long-short (LS) strategy for phase quantization, as well as the long-long (LL) strategy for magnitude quantization. Experimental results for the FRGC face database and the FVC2000 fingerprint database show that phase bits provide reasonably good performance, whereas magnitude bits obtain poor performance.

    AB - Binary biometric representations have great significance for data compression and template protection. In this paper, we introduce pairwise polar quantization. Furthermore, aiming to optimize the discrimination between the genuine Hamming distance (GHD) and the imposter Hamming distance (IHD), we propose two feature pairing strategies: the long-short (LS) strategy for phase quantization, as well as the long-long (LL) strategy for magnitude quantization. Experimental results for the FRGC face database and the FVC2000 fingerprint database show that phase bits provide reasonably good performance, whereas magnitude bits obtain poor performance.

    KW - METIS-264247

    KW - Biometrics

    KW - SCS-Safety

    KW - Template Protection

    KW - EWI-17015

    KW - IR-68946

    U2 - 10.1007/978-3-642-01793-3_8

    DO - 10.1007/978-3-642-01793-3_8

    M3 - Chapter

    SN - 978-3-642-01792-6

    T3 - Lecture Notes in Computer Science

    SP - 72

    EP - 81

    BT - Advances in Biometrics

    A2 - Tistarelli, M.

    A2 - Nixon, M.

    PB - Springer

    CY - Berlin

    ER -

    Chen C, Veldhuis RNJ. Binary Biometric Representation through Pairwise Polar Quantization. In Tistarelli M, Nixon M, editors, Advances in Biometrics. Berlin: Springer. 2009. p. 72-81. 10.1007/978-3-642-01793-3_8. (Lecture Notes in Computer Science; 5558). https://doi.org/10.1007/978-3-642-01793-3_8