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 [BibTeX] [Marc21]
On the Vulnerability of Finger Vein Recognition to Spoofing
Type of publication: Conference paper
Citation: Tome_IEEEBIOSIG2014
Publication status: Published
Booktitle: IEEE International Conference of the Biometrics Special Interest Group (BIOSIG)
Volume: 230
Year: 2014
Month: September
Pages: 1 - 10
Publisher: IEEE
Location: Darmstadt, Germay
ISBN: 978-3-88579-624-4
Abstract: 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.
Keywords: Biometrics, Finger vein, Spoofing Attacks
Projects Idiap
BEAT
Authors Tome, Pedro
Vanoni, Matthias
Marcel, S├ębastien
Added by: [UNK]
Total mark: 0
Attachments
  • Tome_IEEEBIOSIG2014.pdf
Notes