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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    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
    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


    Conference40th WIC Symposium on Information Theory in the Benelux 2019


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