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Titlebook: Handbook of Vascular Biometrics; Andreas Uhl,Christoph Busch,Raymond Veldhuis Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Auth

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发表于 2025-3-21 17:39:40 | 显示全部楼层 |阅读模式
书目名称Handbook of Vascular Biometrics
编辑Andreas Uhl,Christoph Busch,Raymond Veldhuis
视频videohttp://file.papertrans.cn/423/422347/422347.mp4
概述Is the first comprehensive volume dedicated to vascular biometrics.Focuses on reproducible research, enabling readers to actively use the material presented.Provides expert perspectives from both acad
丛书名称Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: Handbook of Vascular Biometrics;  Andreas Uhl,Christoph Busch,Raymond Veldhuis Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Auth
描述.This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers..
出版日期Book‘‘‘‘‘‘‘‘ 2020
关键词Biometric Recognition; Computer Vision; Pattern Recognition; Finger-vein and Hand-vein Biometrics; Retin
版次1
doihttps://doi.org/10.1007/978-3-030-27731-4
isbn_softcover978-3-030-27733-8
isbn_ebook978-3-030-27731-4Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightThe Editor(s) (if applicable) and The Author(s) 2020
The information of publication is updating

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发表于 2025-3-21 22:11:38 | 显示全部楼层
Book‘‘‘‘‘‘‘‘ 2020on, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapter
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发表于 2025-3-22 05:03:59 | 显示全部楼层
An Available Open-Source Vein Recognition Frameworks to perform feature- and score-level fusion. It is fully open source and available free of charge for research and non-commercial purposes. This vein recognition framework has already been used in several papers and can be a valuable tool for other researchers working in vein recognition.
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Different Views on the Finger—Score-Level Fusion in Multi-Perspective Finger Vein Recognitionhods to be fused in terms of recognition accuracy while minimising the number of views involved. Our experimental results show that the recognition performance can be significantly improved over the best performing single view one with as few as two views and two-feature extraction methods involved.
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发表于 2025-3-23 05:39:34 | 显示全部楼层
State of the Art in Vascular Biometricsnition toolchain, available datasets, public competitions and open-source software, template protection schemes, presentation attack(s) (detection), sample quality assessment, mobile acquisition and acquisition on the move, and finally eventual disease impact on recognition and template privacy issues.
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