Extensive Threat Analysis of Vein Attack Databases and Attack Detection by Fusion of Comparison Scores

Author:

Schuiki Johannes,Linortner Michael,Wimmer Georg,Uhl Andreas

Publisher

Springer Nature Singapore

Reference40 articles.

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2. Krissler J, Julian (2018) Venenerkennung hacken - Vom Fall der letzten Bastion biometrischer Systeme. Chaos Computer Club e.V. https://doi.org/10.5446/39201. Accessed 21 Jan 2021

3. Kolberg J, Gomez-Barrero M, Venkatesh S, Ramachandra R, Busch C (2020) Presentation attack detection for finger recognition. Springer International Publishing, Cham, pp 435–463. https://doi.org/10.1007/978-3-030-27731-4_14

4. Nguyen DT, Park YH, Shin KY, Kwon SY, Lee HC, Park KR (2013) Fake finger-vein image detection based on fourier and wavelet transforms. Digit Signal Process 23(5):1401–1413. https://doi.org/10.1016/j.dsp.2013.04.001. www.sciencedirect.com/science/article/pii/S1051200413000808

5. Tome P, Vanoni M, Marcel S (2014) On the vulnerability of finger vein recognition to spoofing. In: 2014 international conference of the biometrics special interest group (BIOSIG), pp 1–10

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