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Finger Vein Spoof GANs: Can We Supersede the Production of Presentation Attack Artefacts?

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Digital Forensics and Watermarking (IWDW 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14511))

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Abstract

GAN-based I2I translation techniques for unpaired data are employed for the synthesis of biometric finger vein presentation attack instrument samples corresponding to three public presentation attack datasets. For the assessment of these synthetic samples, we analyse their behaviour when attacking finger vein recognition systems, comparing these results to such obtained from actually crafted presentation attack samples. We observe that although visual appearance and sample set correspondence are surprisingly good for some networks, respectively, the assessment of the behaviour of the data in a conducted attack is more difficult. Even if for some recognition schemes out of 11 considered we find a good accordance in terms of IAPMR (for many we don’t), the attack score distributions turn out to be highly dissimilar when comparing crafted and synthetic presentation attack instrument samples. More work is needed to be able to correctly interpret corresponding diverging results with respect to the relevance in attack simulation. From the seven network architectures considered, CycleGAN provides the most useful results, but the artificially created samples do not fully mimic the behaviour of crafted ones.

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Acknowledgements

This work has been partially supported by the Austrian Science Fund, project no. I4272.

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Authors and Affiliations

  1. Visual Computing and Security Lab, University of Salzburg, J.-Haringerstr.2, 5020, Salzburg, Austria

    Andreas Vorderleitner, Jutta Hämmerle-Uhl & Andreas Uhl

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  1. Andreas Vorderleitner
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  2. Jutta Hämmerle-Uhl
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  3. Andreas Uhl
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Correspondence to Andreas Uhl .

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Editors and Affiliations

  1. School of Cyber Security, Qilu University of Technology, Jinan, China

    Bin Ma

  2. Qilu University of Technology, Jinan, China

    Jian Li

  3. Qilu University of Technology, Jinan, China

    Qi Li

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Vorderleitner, A., Hämmerle-Uhl, J., Uhl, A. (2024). Finger Vein Spoof GANs: Can We Supersede the Production of Presentation Attack Artefacts?. In: Ma, B., Li, J., Li, Q. (eds) Digital Forensics and Watermarking. IWDW 2023. Lecture Notes in Computer Science, vol 14511. Springer, Singapore. https://doi.org/10.1007/978-981-97-2585-4_8

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  • DOI: https://doi.org/10.1007/978-981-97-2585-4_8

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  • Online ISBN: 978-981-97-2585-4

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