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The experimental results showed that our anti-spoofing solution increases significantly the robustness of the baseline system to spoofing attacks. For example, the FAR of the baseline system drops from 80% to 20% at FRR of 10% under ”clothing targeted attacks”. Using our anti-spoofing solution under ”clothing attacks” at FRR of 10%, the FAR performance gain was in the order of 45% (as the FAR of the baseline system which was 60% dropped till 15% using the proposed solution). 10 A. Hadid et al. It is worth noting that while the countermeasure to gait anti-spoofing increases significantly the robustness of the system against spoofing attacks, some performance degradation on tests not including spoofing attacks can also be expected.

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IEEE TIFS 7(2), 543–552 (2012) 8. : Automatic recognition by gait. Proc. of the IEEE 94(11), 2013–2024 (2006) 9. : Human ID Based on Gait. Springer, New York (2006) 10. : The humanid gait challenge problem: Data sets, performance and analysis. IEEE TPAMI 27(2), 162–177 (2005) 11. : The university of southampton multi-biometric tunnel and introducing a novel 3d gait dataset. In: BTAS. uk/16970/ 12. : On a large sequence-based human gait database. In: Conf. Recent Advances in Soft Computing, pp. 66–72 (2002) 13.

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A band limited and Besov class functional calculus for Tadmor-Ritt operators by Vitse P.

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