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

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书目名称Handbook of Biometric Anti-Spoofing
副标题Presentation Attack
编辑Sébastien Marcel,Julian Fierrez,Nicholas Evans
视频video
概述Is the definitive guide to biometric anti-spoofing and vulnerability assessment.Discusses spoofing methods, vulnerabilities of biometric systems, and countermeasures to spoofing attacks.Presents novel
丛书名称Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: Handbook of Biometric Anti-Spoofing; Presentation Attack  Sébastien Marcel,Julian Fierrez,Nicholas Evans Book 2023Latest edition The Editor
描述.The third edition of this authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) – also known as Biometric Anti-Spoofing. Building on the success of the previous editions, this thoroughly updated third edition has been considerably revised to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website..Topics and features: reviews the latest developments in PAD for fingerprint biometrics, covering recent technologies like Vision Transformers, and reviewof 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 recogniti
出版日期Book 2023Latest edition
关键词Anti-Spoofing; Presentation Attack Detection; Biometrics; Vulnerability Assessment; Face Recognition; Fin
版次3
doihttps://doi.org/10.1007/978-981-19-5288-3
isbn_softcover978-981-19-5290-6
isbn_ebook978-981-19-5288-3Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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https://doi.org/10.1007/978-1-4612-1672-8 this study, we reformulate the workings of a typical fingerprint recognition system. We show that both spoof detection and fingerprint recognition are correlated tasks, and therefore, rather than performing these two tasks separately, a joint model capable of performing both spoof detection and mat
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Maciej Stolarski,Joanna Witowska to real-world applications. The deployment of this technology raises questions about the main vulnerabilities and security threats related to these systems. Among these threats, presentation attacks stand out as some of the most relevant and studied. Presentation attacks can be defined as the prese
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Antanas Kairys,Audrone Liniauskaite used in iris recognition systems. A pupil, when stimulated by visible light in a predefined manner, may offer sophisticated dynamic liveness features that cannot be acquired from dead eyes or other static objects such as printed contact lenses, paper printouts, or prosthetic eyes. Modeling of pupil
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https://doi.org/10.1007/978-3-662-53430-4 in the last few years. The next pages present the different presentation attacks that a face recognition system can confront, in which an attacker presents to the sensor, mainly a camera, a Presentation Attack Instrument (PAI), that is generally a photograph, a video, or a mask, with the target to
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State Estimation in the State-Space Model,which brings a big challenge to face presentation attack detection (PAD). With the boosting of face recognition application in wide scenarios, there is an urgent need to solve the 3D facial mask attack problem. Since this appearance and material of 3D masks could vary in a much larger range compared
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