派博傳思國際中心

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

作者: 重婚    時間: 2025-3-21 16:51
書目名稱Handbook of Biometric Anti-Spoofing影響因子(影響力)




書目名稱Handbook of Biometric Anti-Spoofing影響因子(影響力)學科排名




書目名稱Handbook of Biometric Anti-Spoofing網(wǎng)絡(luò)公開度




書目名稱Handbook of Biometric Anti-Spoofing網(wǎng)絡(luò)公開度學科排名




書目名稱Handbook of Biometric Anti-Spoofing被引頻次




書目名稱Handbook of Biometric Anti-Spoofing被引頻次學科排名




書目名稱Handbook of Biometric Anti-Spoofing年度引用




書目名稱Handbook of Biometric Anti-Spoofing年度引用學科排名




書目名稱Handbook of Biometric Anti-Spoofing讀者反饋




書目名稱Handbook of Biometric Anti-Spoofing讀者反饋學科排名





作者: 混亂生活    時間: 2025-3-21 23:24

作者: Goblet-Cells    時間: 2025-3-22 02:48

作者: 金哥占卜者    時間: 2025-3-22 05:51
Recent Progress on Face Presentation Attack Detection of 3D Mask Attacksnducted and reported. In order to attract more attentions on 3D mask face PAD, this book chapter summarizes the progress in the past few years, as well as publicly available datasets. Finally, some open problems in 3D mask attack are discussed.
作者: 執(zhí)    時間: 2025-3-22 11:29

作者: Pseudoephedrine    時間: 2025-3-22 13:57

作者: 出汗    時間: 2025-3-22 20:03
https://doi.org/10.1007/978-3-531-18956-7tection. The evaluation is presented on publicly available fake fingerprint database that consists of both bona fide (i.e., real) and presentation attack fingerprint samples captured by capacitive, optical and thermal sensors. The results indicate the need for further approaches that can detect attacks across data from different sensors.
作者: bypass    時間: 2025-3-22 21:34
Auge: Versetzung (Deplantation)Det) goal is to compare both software-based and hardware-based fingerprint liveness detection methodologies. The competition is open to all academic and industrial institutions. The number of competitors grows at every LivDet edition demonstrating a growing interest in the area.
作者: padding    時間: 2025-3-23 04:44
Apophatic Silence and Displacements,algorithms under some real-world variations faced in mobile scenarios, including previously unseen acquisition conditions, presentation attack instruments, and sensors. We also discuss the lessons learnt from the competitions and future challenges in the field in general.
作者: 死貓他燒焦    時間: 2025-3-23 07:57

作者: largesse    時間: 2025-3-23 12:37
A Study of Hand-Crafted and Naturally Learned Features for Fingerprint Presentation Attack Detectiontection. The evaluation is presented on publicly available fake fingerprint database that consists of both bona fide (i.e., real) and presentation attack fingerprint samples captured by capacitive, optical and thermal sensors. The results indicate the need for further approaches that can detect attacks across data from different sensors.
作者: Override    時間: 2025-3-23 13:58
Review of Fingerprint Presentation Attack Detection CompetitionsDet) goal is to compare both software-based and hardware-based fingerprint liveness detection methodologies. The competition is open to all academic and industrial institutions. The number of competitors grows at every LivDet edition demonstrating a growing interest in the area.
作者: Hdl348    時間: 2025-3-23 21:37
Review of Face Presentation Attack Detection Competitionsalgorithms under some real-world variations faced in mobile scenarios, including previously unseen acquisition conditions, presentation attack instruments, and sensors. We also discuss the lessons learnt from the competitions and future challenges in the field in general.
作者: 喃喃而言    時間: 2025-3-23 22:36

作者: Oscillate    時間: 2025-3-24 04:25

作者: PHIL    時間: 2025-3-24 09:31
Tight Junctions in the Inflamed Gut,ution. There have been two previous fingerprint competitions through LivDet; 2013 and 2015. LivDet-Iris 2017 is being conducted during 2017. LivDet-Iris has maintained a consistent level of competitors for Part 1: Algorithms throughout the two previous competitions and 2017 competition has begun to garner further interest.
作者: Cleave    時間: 2025-3-24 11:44
Entstehung und Wirkungspotentiale,ding generalisation, usability, and performance. More specifically, we will focus on how to select and configure an algorithm for real scenario deployments, paying special attention to use cases involving limited processing capacity devices (e.g., mobile devices), and we will present a publicly available evaluation framework for this purpose.
作者: Isolate    時間: 2025-3-24 18:33
Introduction to Iris Presentation Attack Detection of attacks including the main challenges to address. Second, we present a taxonomy of presentation attack detection methods to serve as a brief introduction on this very active research area. Finally, we discuss the integration of these methods into iris recognition systems according to the most important scenarios of practical application.
作者: insomnia    時間: 2025-3-24 22:27
Review of Iris Presentation Attack Detection Competitionsution. There have been two previous fingerprint competitions through LivDet; 2013 and 2015. LivDet-Iris 2017 is being conducted during 2017. LivDet-Iris has maintained a consistent level of competitors for Part 1: Algorithms throughout the two previous competitions and 2017 competition has begun to garner further interest.
作者: 斷言    時間: 2025-3-25 03:04

作者: 真    時間: 2025-3-25 04:20
Optical Coherence Tomography for?Fingerprint Presentation Attack Detectionspeed at the relevant necessary resolution to detect current known attempts at spoofing. The nature of OCT and the data it produces means that a truly high-security fingerprint acquisition system may exist in the future. This work serves to detail current research in this domain.
作者: inclusive    時間: 2025-3-25 11:12
Interoperability Among Capture Devices for Fingerprint Presentation Attacks Detectione main and most effective state-of-the-art approaches to feature extraction, we introduce the interoperability FPAD problem from the image captured by the fingerprint sensor to the impact on the related feature space and classifier. In particular, we take into account the so-called textural descript
作者: 譏笑    時間: 2025-3-25 12:58
Application of Dynamic Features of the Pupil for Iris Presentation Attack Detectionurrent 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
作者: 參考書目    時間: 2025-3-25 17:16

作者: 審問,審訊    時間: 2025-3-25 20:04
Recent Advances in Face Presentation Attack Detectionhe significant advances in face-PAD research since the publication of the first edition of this book. In addition to new face-PAD methods designed for color images, we also discuss advances involving other imaging modalities, such as near-infrared (NIR) and thermal imaging. Research on detecting var
作者: 呼吸    時間: 2025-3-26 03:52
Remote Blood Pulse Analysis for Face Presentation Attack Detection containing a wide range of face presentation attacks. Obtained results suggest that the proposed features are effective for this task, and we empirically show that our approach performs better than state-of-the-art rPPG-based presentation attack detection algorithms.
作者: 罐里有戒指    時間: 2025-3-26 07:38
2191-6586 f interoperability; examines methods for PAD in iris recognition systems, and the application of stimulated pupillary light reflex for this purpose; discusses advancements in PAD methods for face recognition-ba978-3-319-92627-8Series ISSN 2191-6586 Series E-ISSN 2191-6594
作者: 字謎游戲    時間: 2025-3-26 11:25
Book 20192nd editionngerprint biometrics, covering optical coherence tomography (OCT) technology, and issues of interoperability; examines methods for PAD in iris recognition systems, and the application of stimulated pupillary light reflex for this purpose; discusses advancements in PAD methods for face recognition-ba
作者: jettison    時間: 2025-3-26 14:24

作者: 敲詐    時間: 2025-3-26 18:52

作者: 異端邪說2    時間: 2025-3-27 00:19
https://doi.org/10.1007/978-3-663-05215-9urrent 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
作者: frozen-shoulder    時間: 2025-3-27 05:00

作者: colostrum    時間: 2025-3-27 09:19
https://doi.org/10.1007/978-90-368-1234-4he significant advances in face-PAD research since the publication of the first edition of this book. In addition to new face-PAD methods designed for color images, we also discuss advances involving other imaging modalities, such as near-infrared (NIR) and thermal imaging. Research on detecting var
作者: 慢慢啃    時間: 2025-3-27 12:41
https://doi.org/10.1007/978-981-99-6331-7 containing a wide range of face presentation attacks. Obtained results suggest that the proposed features are effective for this task, and we empirically show that our approach performs better than state-of-the-art rPPG-based presentation attack detection algorithms.
作者: ALIEN    時間: 2025-3-27 13:56
Sébastien Marcel,Mark S. Nixon,Nicholas EvansThe definitive study of biometric anti-spoofing (a.k.a., biometric presentation attack detection).Discusses spoofing methods, vulnerabilities of biometric systems and countermeasures to spoofing attac
作者: Between    時間: 2025-3-27 19:54

作者: Hippocampus    時間: 2025-3-28 01:07

作者: EVEN    時間: 2025-3-28 04:06

作者: Externalize    時間: 2025-3-28 07:33
Handbook of Biometric Anti-Spoofing978-3-319-92627-8Series ISSN 2191-6586 Series E-ISSN 2191-6594
作者: SSRIS    時間: 2025-3-28 10:53
An Introduction to Fingerprint Presentation Attack Detection developments for that purpose in the last two decades. After a review of selected literature in the field, we also revisit the potential of quality assessment for presentation attack detection. We believe that, beyond the interest that the described techniques may intrinsically have by themselves,
作者: Essential    時間: 2025-3-28 16:57

作者: 偽造者    時間: 2025-3-28 20:47
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
作者: 小母馬    時間: 2025-3-29 02:47
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
作者: prediabetes    時間: 2025-3-29 05:55

作者: –FER    時間: 2025-3-29 10:07

作者: Tincture    時間: 2025-3-29 11:34
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
作者: calorie    時間: 2025-3-29 19:03
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
作者: 小臼    時間: 2025-3-29 20:09

作者: allude    時間: 2025-3-30 01:13
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,
作者: 遺留之物    時間: 2025-3-30 04:25





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