A High-Quality Finger Vein Dataset Collected Using a Custom-Designed Capture Device

Raymond Veldhuis, Luuk Spreeuwers*, Bram Ton, Sjoerd Rozendal

*Corresponding author for this work

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

    2 Citations (Scopus)
    49 Downloads (Pure)


    High-quality finger vein datasets available for the research community are still relatively scarce; therefore, we collected a set of finger vein images of high resolution and a known pixel density. Furthermore, this is the first dataset which contains the age, gender and handedness of the participating data subjects as metadata. This dataset has been collected using a custom-designed biometric capture device. The various aspects of designing this biometric capture device are addressed in this chapter. New insights and continuing work on the design of better capture devices have led to novel ideas which are presented in this chapter. To justify the importance of this dataset, performance figures in terms of EER of several well-established algorithms using this dataset and an existing dataset are compared side by side.

    Original languageEnglish
    Title of host publicationHandbook of Vascular Biometrics
    EditorsAndreas Uhl, Christoph Busch, Sébastien Marcel, Raymond Veldhuis
    Number of pages13
    ISBN (Electronic)978-3-030-27731-4
    ISBN (Print)978-3-030-27730-7
    Publication statusPublished - 1 Jan 2020

    Publication series

    NameAdvances in Computer Vision and Pattern Recognition
    ISSN (Print)2191-6586
    ISSN (Electronic)2191-6594


    • 3D finger vein reconstruction
    • Finger vein capture device
    • Finger vein data set


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