Minutiae-based Finger Vein Recognition Evaluated with Fingerprint Comparison Software
Abstract
Finger vein recognition is a biometric authentication technique based on the vein patterns
of human fingers. Despite the fact that classical approaches are based on correlation, the topology
of vein patterns allows the use of minutiae points for their representation. Minutiae points are the
most used features for representing ridge patterns in fingerprints. In literature, it has been shown that
minutiae can be used for finger vein comparison, but low image quality provokes that many spurious
minutiae are extracted from them. In this work, a preprocessing method is presented, that combines
classical digital image processing methods and level set theory in order to extract a set with the most
reliable minutiae. The experiments were performed on two publicly available databases and different
comparison methods were used for testing the representative character of the minutiae set extracted.
The results showed that even though the amount of extracted minutiae is around 15-30, effective
identification is possible.
- Citation
- BibTeX
Castillo-Rosado, K., Linortner, M., Uhl, A., Mendez-Vasquez, H. & Hernandez-Palancar, J.,
(2020).
Minutiae-based Finger Vein Recognition Evaluated with Fingerprint Comparison Software.
In:
Brömme, A., Busch, C., Dantcheva, A., Raja, K., Rathgeb, C. & Uhl, A.
(Hrsg.),
BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group.
Bonn:
Gesellschaft für Informatik e.V..
(S. 223-230).
@inproceedings{mci/Castillo-Rosado2020,
author = {Castillo-Rosado, Katy AND Linortner, Michael AND Uhl, Andreas AND Mendez-Vasquez, Heydi AND Hernandez-Palancar, José},
title = {Minutiae-based Finger Vein Recognition Evaluated with Fingerprint Comparison Software},
booktitle = {BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group},
year = {2020},
editor = {Brömme, Arslan AND Busch, Christoph AND Dantcheva, Antitza AND Raja, Kiran AND Rathgeb, Christian AND Uhl, Andreas} ,
pages = { 223-230 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Castillo-Rosado, Katy AND Linortner, Michael AND Uhl, Andreas AND Mendez-Vasquez, Heydi AND Hernandez-Palancar, José},
title = {Minutiae-based Finger Vein Recognition Evaluated with Fingerprint Comparison Software},
booktitle = {BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group},
year = {2020},
editor = {Brömme, Arslan AND Busch, Christoph AND Dantcheva, Antitza AND Raja, Kiran AND Rathgeb, Christian AND Uhl, Andreas} ,
pages = { 223-230 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-700-5
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2020
Language:
(en)

Content Type: Text/Conference Paper