On the vulnerability of finger vein recognition to spoofing

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. Experimen...

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Bibliographic Details
Published in2014 International Conference of the Biometrics Special Interest Group (BIOSIG) pp. 1 - 10
Main Authors Tome, Pedro, Vanoni, Matthias, Marcel, Sebastien
Format Conference Proceeding
LanguageEnglish
Published Gesellschaft für Informatik e.V. - GI 01.09.2014
Subjects
Biometrics (access control)
Fingers
Image recognition
Ink
Printers
Veins
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Summary: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.
ISBN:9783885796244
3885796244