Analysis of performance of palmprint matching with enforced sparsity

Omar Nibouche, Jianmin Jiang, Paul Trundle

    Research output: Contribution to journalArticle

    14 Citations (Scopus)

    Abstract

    In this paper, a new palmprint matching system based on the extraction of feature points is suggested. Using a scale-space representation, the points in question are corners formed by the intersection of creases and lines. Unlike minutiae, such points can still be extracted even on low resolution palmprints. Matching is carried out using an SVD factorisation of a proximity matrix and takes account of the coordinates of the detected points and their local texture. Our experiments have yielded some very good results evidenced by an EER of 0.10%.
    LanguageEnglish
    Pages348-355
    JournalDigital Signal Processing
    Volume22
    Issue number2
    DOIs
    Publication statusPublished - Mar 2012

    Fingerprint

    Singular value decomposition
    Factorization
    Textures
    Experiments

    Cite this

    Nibouche, Omar ; Jiang, Jianmin ; Trundle, Paul. / Analysis of performance of palmprint matching with enforced sparsity. In: Digital Signal Processing. 2012 ; Vol. 22, No. 2. pp. 348-355.
    @article{3c0c4132492944f895bd913e94d2b797,
    title = "Analysis of performance of palmprint matching with enforced sparsity",
    abstract = "In this paper, a new palmprint matching system based on the extraction of feature points is suggested. Using a scale-space representation, the points in question are corners formed by the intersection of creases and lines. Unlike minutiae, such points can still be extracted even on low resolution palmprints. Matching is carried out using an SVD factorisation of a proximity matrix and takes account of the coordinates of the detected points and their local texture. Our experiments have yielded some very good results evidenced by an EER of 0.10{\%}.",
    author = "Omar Nibouche and Jianmin Jiang and Paul Trundle",
    year = "2012",
    month = "3",
    doi = "10.1016/j.dsp.2011.10.011",
    language = "English",
    volume = "22",
    pages = "348--355",
    journal = "Digital Signal Processing",
    issn = "1051-2004",
    publisher = "Elsevier",
    number = "2",

    }

    Analysis of performance of palmprint matching with enforced sparsity. / Nibouche, Omar; Jiang, Jianmin; Trundle, Paul.

    In: Digital Signal Processing, Vol. 22, No. 2, 03.2012, p. 348-355.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Analysis of performance of palmprint matching with enforced sparsity

    AU - Nibouche, Omar

    AU - Jiang, Jianmin

    AU - Trundle, Paul

    PY - 2012/3

    Y1 - 2012/3

    N2 - In this paper, a new palmprint matching system based on the extraction of feature points is suggested. Using a scale-space representation, the points in question are corners formed by the intersection of creases and lines. Unlike minutiae, such points can still be extracted even on low resolution palmprints. Matching is carried out using an SVD factorisation of a proximity matrix and takes account of the coordinates of the detected points and their local texture. Our experiments have yielded some very good results evidenced by an EER of 0.10%.

    AB - In this paper, a new palmprint matching system based on the extraction of feature points is suggested. Using a scale-space representation, the points in question are corners formed by the intersection of creases and lines. Unlike minutiae, such points can still be extracted even on low resolution palmprints. Matching is carried out using an SVD factorisation of a proximity matrix and takes account of the coordinates of the detected points and their local texture. Our experiments have yielded some very good results evidenced by an EER of 0.10%.

    U2 - 10.1016/j.dsp.2011.10.011

    DO - 10.1016/j.dsp.2011.10.011

    M3 - Article

    VL - 22

    SP - 348

    EP - 355

    JO - Digital Signal Processing

    T2 - Digital Signal Processing

    JF - Digital Signal Processing

    SN - 1051-2004

    IS - 2

    ER -