CONF Tome_IEEEBIOSIG2014/IDIAP On the Vulnerability of Finger Vein Recognition to Spoofing Tome, Pedro Vanoni, Matthias Marcel, Sébastien Biometrics Finger vein Spoofing Attacks EXTERNAL http://publications.idiap.ch/attachments/papers/2014/Tome_IEEEBIOSIG2014.pdf PUBLIC IEEE International Conference of the Biometrics Special Interest Group (BIOSIG) Darmstadt, Germay 230 1 - 10 978-3-88579-624-4 2014 IEEE 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.