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Morphing-Attacks Against Binary Fingervein Templates

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Image Analysis and Processing - ICIAP 2023 Workshops (ICIAP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14365))

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Abstract

For the first time, the feasibility of creating morphed templates for attacking vascular biometrics is investigated, in particular finger vein recognition schemes generating binary vascular patterns are addressed. A conducted vulnerability analysis reveals that (i) the extent of vulnerability, (ii) the type of most vulnerable recognition scheme, and (iii) the preferred way to construct the morphed template for a given target template depends on the employed sensor. It turns out that targeted template doppelgaenger selection is important for an attack success. The identified threat level in terms of IAPMR is often found to be \(> 0.8\) for several sensor/template generation scheme/morphing technique combinations. Thus, the risk as imposed by such attacks can be said to be considerable.

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Acknowledgements

This work has been partially funded by the Austrian Science Fund projects P32201 and I4232, respectively.

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Authors and Affiliations

  1. Visual Computing and Security Lab (VISEL), Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria

    Tobias Mitterreiter, Jutta Hämmerle-Uhl & Andreas Uhl

Authors
  1. Tobias Mitterreiter
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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. University of Udine, Udine, Italy

    Gian Luca Foresti

  2. University of Udine, Udine, Italy

    Andrea Fusiello

  3. University of York, York, UK

    Edwin Hancock

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Mitterreiter, T., Hämmerle-Uhl, J., Uhl, A. (2024). Morphing-Attacks Against Binary Fingervein Templates. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023. Lecture Notes in Computer Science, vol 14365. Springer, Cham. https://doi.org/10.1007/978-3-031-51023-6_26

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  • DOI: https://doi.org/10.1007/978-3-031-51023-6_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51022-9

  • Online ISBN: 978-3-031-51023-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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