Improved Liveness Detection in Dorsal Hand Vein Videos using Photoplethysmography
Abstract
In this study, a previously published infrared finger vein liveness detection scheme is
tested for its applicability on dorsal hand vein videos. A custom database consisting of five different
types of presentation attacks recorded with transillumination as well as reflected light illumination is
examined. Additionally, two different methods for liveness detection are presented in this work. All
methods described employ the concept of generating a signal through the change in average pixel
illumination, which is referred to as Photoplethysmography. Feature vectors in order to classify a
given video sequence are generated using spectral analysis of the time series. Experimental results
show the effectiveness of the proposed methods.
- Citation
- BibTeX
Schuiki, J. & Uhl, A.,
(2020).
Improved Liveness Detection in Dorsal Hand Vein Videos using Photoplethysmography.
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. 57-65).
@inproceedings{mci/Schuiki2020,
author = {Schuiki, Johannes AND Uhl, Andreas},
title = {Improved Liveness Detection in Dorsal Hand Vein Videos using Photoplethysmography},
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 = { 57-65 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Schuiki, Johannes AND Uhl, Andreas},
title = {Improved Liveness Detection in Dorsal Hand Vein Videos using Photoplethysmography},
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 = { 57-65 },
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