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On the vulnerability of finger vein recognition to spoofing

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2014

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Gesellschaft für Informatik e.V.

Zusammenfassung

The vulnerability of finger vein recognition to spoofing is studied in this paper. A collection of spoofing finger vein images has been created from real finger vein samples. Finger vein images are printed using a commercial printer and then, presented at an open source finger vein sensor. Experiments are carried out using an extensible framework, which allows fair and reproducible benchmarks. Experimental results lead to a spoofing false accept rate of 86\%, thus showing that finger vein biometrics is vulnerable to spoofing attacks, pointing out the importance to investigate countermeasures against this type of fraudulent actions.

Beschreibung

Tome, Pedro; Vanoni, Matthias; Marcel, Sébastien (2014): On the vulnerability of finger vein recognition to spoofing. BIOSIG 2014. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-624-4. pp. 111-120. Darmstadt. 10.-12. September 2014

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