Palmprint matching using feature points and SVD factorisation

Omar Nibouche, Jianmin Jiang

    Research output: Contribution to journalArticle

    15 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
    Pages1154-1162
    JournalDigital Signal Processing
    Volume23
    Issue number4
    DOIs
    Publication statusPublished - Jul 2013

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    Singular value decomposition
    Factorization
    Textures
    Experiments

    Cite this

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    title = "Palmprint matching using feature points and SVD factorisation",
    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{\%}.",
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    Palmprint matching using feature points and SVD factorisation. / Nibouche, Omar; Jiang, Jianmin.

    In: Digital Signal Processing, Vol. 23, No. 4, 07.2013, p. 1154-1162.

    Research output: Contribution to journalArticle

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    AU - Jiang, Jianmin

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    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%.

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