Titlebook: Handbook of Biometric Anti-Spoofing; Presentation Attack Sébastien Marcel,Julian Fierrez,Nicholas Evans Book 2023Latest edition The Editor

Monolithic

Antanas Kairys,Audrone Liniauskaiteurrent neural networks and compares their PAD performance to solutions based on the parametric Clynes-Kohn model and various classification techniques. Experiments with 166 distinct eyes of 84 subjects show that the best data-driven solution, one based on long short-term memory, was able to correctl

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Time Pressure in Negotiation and Mediation the other two happening in 2015 and 2017. This chapter briefly characterizes all four competitions, discusses the state of the art in iris PAD (from the independent evaluations point of view), and current needs to push the iris PAD reliability forward.

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Time-Reversal Acoustics and Superresolution,ormed on six NIR and one visible-light iris databases to show the effectiveness and robustness of proposed A-PBS methods. We additionally conduct extensive experiments under intra-/cross-database and intra-/cross-spectrum for detailed analysis. The results of our experiments indicate the generalizab

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https://doi.org/10.1007/978-3-030-46347-2 Specifically, we present different architecture choices for fusion, along with ad hoc loss functions as opposed to standard classification objective. We conduct an extensive set of experiments in the HQ-WMCA dataset, which contains a wide variety of attacks and sensing channels together with challe

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2191-6586 eviewof competition series; examines methods for PAD in iris recognition systems, the use of pupil size measurement or multiple spectra for this purpose; discusses advancements in PAD methods for face recogniti978-981-19-5290-6978-981-19-5288-3Series ISSN 2191-6586 Series E-ISSN 2191-6594

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Introduction to Presentation Attack Detection in Iris Biometrics and Recent Advancesacks. First, we summarize the most popular types of attacks including the main challenges to address. Second, we present a taxonomy of PAD methods as a brief introduction to this very active research area. Finally, we discuss the integration of these methods into iris recognition systems according t

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