@inbook{feb7676f28ee431aaf448402f6d5435a,
title = "A High-Quality Finger Vein Dataset Collected Using a Custom-Designed Capture Device",
abstract = "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.",
keywords = "3D finger vein reconstruction, Finger vein capture device, Finger vein data set",
author = "Raymond Veldhuis and Luuk Spreeuwers and Bram Ton and Sjoerd Rozendal",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-27731-4_2",
language = "English",
isbn = "978-3-030-27730-7",
series = "Advances in Computer Vision and Pattern Recognition",
publisher = "Springer",
pages = "63--75",
editor = "Andreas Uhl and Christoph Busch and S{\'e}bastien Marcel and Raymond Veldhuis",
booktitle = "Handbook of Vascular Biometrics",
address = "Germany",
}