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

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Time Use Research in the Social Sciences to a binary classification problem. In this article, by analyzing distributions of genuine and replayed speech with a specifically designed database and summarizing the known artifacts in existing datasets, we show the potential shortcomings of the two-class approach in both discrimination and gene

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Vision Transformers for Fingerprint Presentation Attack Detectionof presentation attack species (i.e., artifacts), varying from low-cost artifacts to sophisticated materials. A number of presentation attack detection (PAD) approaches have been specifically designed to detect and counteract presentation attacks on fingerprint systems. In this chapter, we study and

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Review of the Fingerprint Liveness Detection (LivDet) Competition Series: From 2009 to 2021resentation attacks is not trivial because attackers refine their replication techniques from year to year. The International Fingerprint liveness Detection Competition (LivDet), an open and well-acknowledged meeting point of academies and private companies that deal with the problem of presentation

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Review of Iris Presentation Attack Detection Competitionsic sample from a genuine user. Presentation Attack Detection (PAD) is suggested as a solution to this vulnerability. The LivDet-Iris Liveness Detection Competition strives to showcase the state of the art in presentation attack detection by assessing the software-based iris Presentation Attack Detec