Finger-vein Pattern Recognition Based on ICP on Contours

P. Normakristagaluh*, L. Spreeuwers, R.N.J. Veldhuis

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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    Abstract

    An important step in finger-vein recognition is a proper alignment of the finger vein patterns to be compared. This alignment method is used to handle finger pose variation and to enhance the stability of the finger vein authentication. We proposed the iterative closest point (ICP) method on finger contour for the alignment. After the aligning process, we applied maximum curvature as a vein feature for the comparison without further optimization of the parameters, and we gained a better genuine comparison score. Even though this method is robust to finger pose variations, we have to further verify whether it will impact recognition performance. The experimental results show that the accuracy of the proposed method in verification case is enhanced and increases slightly than the state-of-the-art registration method which is called center line registration. Using ICP for registration resulted in a reduction of the EER to 0.3% (from 0.7% for the centerline registration) and a reduction of the FNMR@FMR0.01 to 0.7% (from 2.0% for the centerline registration).
    Original languageEnglish
    Title of host publication2019 Symposium on Information Theory and Signal Processing in the Benelux
    EditorsGilles Callebaut, Kevin Verniers, Bert Cox
    Place of PublicationLeuven
    PublisherKatholieke Universiteit Leuven
    Pages97-101
    Number of pages5
    ISBN (Print)9789491857034
    Publication statusPublished - 28 May 2019
    Event40th WIC Symposium on Information Theory in the Benelux 2019 - Ghent Technology Campus, Leuven, Belgium
    Duration: 28 May 201929 May 2019
    Conference number: 40

    Conference

    Conference40th WIC Symposium on Information Theory in the Benelux 2019
    CountryBelgium
    CityLeuven
    Period28/05/1929/05/19

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    Cite this

    Normakristagaluh, P., Spreeuwers, L., & Veldhuis, R. N. J. (2019). Finger-vein Pattern Recognition Based on ICP on Contours. In G. Callebaut, K. Verniers, & B. Cox (Eds.), 2019 Symposium on Information Theory and Signal Processing in the Benelux (pp. 97-101). Leuven: Katholieke Universiteit Leuven.
    Normakristagaluh, P. ; Spreeuwers, L. ; Veldhuis, R.N.J. / Finger-vein Pattern Recognition Based on ICP on Contours. 2019 Symposium on Information Theory and Signal Processing in the Benelux. editor / Gilles Callebaut ; Kevin Verniers ; Bert Cox. Leuven : Katholieke Universiteit Leuven, 2019. pp. 97-101
    @inproceedings{ab78f966a99d4c9e87d0bd5cf73fdb08,
    title = "Finger-vein Pattern Recognition Based on ICP on Contours",
    abstract = "An important step in finger-vein recognition is a proper alignment of the finger vein patterns to be compared. This alignment method is used to handle finger pose variation and to enhance the stability of the finger vein authentication. We proposed the iterative closest point (ICP) method on finger contour for the alignment. After the aligning process, we applied maximum curvature as a vein feature for the comparison without further optimization of the parameters, and we gained a better genuine comparison score. Even though this method is robust to finger pose variations, we have to further verify whether it will impact recognition performance. The experimental results show that the accuracy of the proposed method in verification case is enhanced and increases slightly than the state-of-the-art registration method which is called center line registration. Using ICP for registration resulted in a reduction of the EER to 0.3{\%} (from 0.7{\%} for the centerline registration) and a reduction of the FNMR@FMR0.01 to 0.7{\%} (from 2.0{\%} for the centerline registration).",
    author = "P. Normakristagaluh and L. Spreeuwers and R.N.J. Veldhuis",
    year = "2019",
    month = "5",
    day = "28",
    language = "English",
    isbn = "9789491857034",
    pages = "97--101",
    editor = "Gilles Callebaut and Kevin Verniers and Bert Cox",
    booktitle = "2019 Symposium on Information Theory and Signal Processing in the Benelux",
    publisher = "Katholieke Universiteit Leuven",

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    Normakristagaluh, P, Spreeuwers, L & Veldhuis, RNJ 2019, Finger-vein Pattern Recognition Based on ICP on Contours. in G Callebaut, K Verniers & B Cox (eds), 2019 Symposium on Information Theory and Signal Processing in the Benelux. Katholieke Universiteit Leuven, Leuven, pp. 97-101, 40th WIC Symposium on Information Theory in the Benelux 2019, Leuven, Belgium, 28/05/19.

    Finger-vein Pattern Recognition Based on ICP on Contours. / Normakristagaluh, P.; Spreeuwers, L.; Veldhuis, R.N.J.

    2019 Symposium on Information Theory and Signal Processing in the Benelux. ed. / Gilles Callebaut; Kevin Verniers; Bert Cox. Leuven : Katholieke Universiteit Leuven, 2019. p. 97-101.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    TY - GEN

    T1 - Finger-vein Pattern Recognition Based on ICP on Contours

    AU - Normakristagaluh, P.

    AU - Spreeuwers, L.

    AU - Veldhuis, R.N.J.

    PY - 2019/5/28

    Y1 - 2019/5/28

    N2 - An important step in finger-vein recognition is a proper alignment of the finger vein patterns to be compared. This alignment method is used to handle finger pose variation and to enhance the stability of the finger vein authentication. We proposed the iterative closest point (ICP) method on finger contour for the alignment. After the aligning process, we applied maximum curvature as a vein feature for the comparison without further optimization of the parameters, and we gained a better genuine comparison score. Even though this method is robust to finger pose variations, we have to further verify whether it will impact recognition performance. The experimental results show that the accuracy of the proposed method in verification case is enhanced and increases slightly than the state-of-the-art registration method which is called center line registration. Using ICP for registration resulted in a reduction of the EER to 0.3% (from 0.7% for the centerline registration) and a reduction of the FNMR@FMR0.01 to 0.7% (from 2.0% for the centerline registration).

    AB - An important step in finger-vein recognition is a proper alignment of the finger vein patterns to be compared. This alignment method is used to handle finger pose variation and to enhance the stability of the finger vein authentication. We proposed the iterative closest point (ICP) method on finger contour for the alignment. After the aligning process, we applied maximum curvature as a vein feature for the comparison without further optimization of the parameters, and we gained a better genuine comparison score. Even though this method is robust to finger pose variations, we have to further verify whether it will impact recognition performance. The experimental results show that the accuracy of the proposed method in verification case is enhanced and increases slightly than the state-of-the-art registration method which is called center line registration. Using ICP for registration resulted in a reduction of the EER to 0.3% (from 0.7% for the centerline registration) and a reduction of the FNMR@FMR0.01 to 0.7% (from 2.0% for the centerline registration).

    M3 - Conference contribution

    SN - 9789491857034

    SP - 97

    EP - 101

    BT - 2019 Symposium on Information Theory and Signal Processing in the Benelux

    A2 - Callebaut, Gilles

    A2 - Verniers, Kevin

    A2 - Cox, Bert

    PB - Katholieke Universiteit Leuven

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    ER -

    Normakristagaluh P, Spreeuwers L, Veldhuis RNJ. Finger-vein Pattern Recognition Based on ICP on Contours. In Callebaut G, Verniers K, Cox B, editors, 2019 Symposium on Information Theory and Signal Processing in the Benelux. Leuven: Katholieke Universiteit Leuven. 2019. p. 97-101