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Titlebook: Handbook of Biometric Anti-Spoofing; Presentation Attack Sébastien Marcel,Mark S. Nixon,Nicholas Evans Book 20192nd edition Springer Natur

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楼主: 重婚
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Optical Coherence Tomography for Fingerprint Presentation Attack Detectionsurface of the skin. The penetrative nature of this technology means that rich information is available regarding the structure of the skin. This access, in turn, enables new techniques in detecting spoofing attacks, and therefore also introduces mitigation steps against current presentation attack
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Interoperability Among Capture Devices for Fingerprint Presentation Attacks Detectiondware module called fingerprint presentation attacks detector (FPAD) that is able to detect images coming from a real (live) and a spoof (fake) fingertip. We focused our work on the so-called software-based solutions that use a classifier trained with a collection of live and fake fingerprint images
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Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection 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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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—Iris Liveness Detection Competition started in 2013 strives to showcase the state-of-the- art in presentation attack detection by assessing the software-based iris PAD
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Recent Advances in Face Presentation Attack Detectionrom airports to remote banking. Widespread adoption of face biometrics, however, depends on the perception of robustness of such systems. One particular vulnerability of FR systems comes from presentation attacks (PA), where a subject . attempts to impersonate another subject ., by presenting, say,
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