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. 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.


Presented at:
IEEE International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germay
Year:
2014
Keywords:
Laboratories:




 Record created 2014-07-19, last modified 2018-01-28


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