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血管生物测定手册-Handbook of Vascular Biometrics

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文件编号:6162
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标题(title):Handbook of Vascular Biometrics
血管生物测定手册
作者(author):Andreas Uhl, Christoph Busch, Sébastien Marcel, Raymond Veldhuis
出版社(publisher):Springer International Publishing
大小(size):17 MB (18191248 bytes)
格式(extension):pdf
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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.



Table of contents :
Front Matter ....Pages i-xviii
Front Matter ....Pages 1-1
State of the Art in Vascular Biometrics (Andreas Uhl)....Pages 3-61
A High-Quality Finger Vein Dataset Collected Using a Custom-Designed Capture Device (Raymond Veldhuis, Luuk Spreeuwers, Bram Ton, Sjoerd Rozendal)....Pages 63-75
OpenVein—An Open-Source Modular Multipurpose Finger Vein Scanner Design (Christof Kauba, Bernhard Prommegger, Andreas Uhl)....Pages 77-111
An Available Open-Source Vein Recognition Framework (Christof Kauba, Andreas Uhl)....Pages 113-142
Front Matter ....Pages 143-143
Use Case of Palm Vein Authentication (Takashi Shinzaki)....Pages 145-158
Evolution of Finger Vein Biometric Devices in Terms of Usability (Mitsutoshi Himaga, Hisao Ogata)....Pages 159-177
Towards Understanding Acquisition Conditions Influencing Finger Vein Recognition (Simon Kirchgasser, Christof Kauba, Andreas Uhl)....Pages 179-199
Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training Labels (Ehsaneddin Jalilian, Andreas Uhl)....Pages 201-223
Efficient Identification in Large-Scale Vein Recognition Systems Using Spectral Minutiae Representations (Benedikt-Alexander Mokroß, Pawel Drozdowski, Christian Rathgeb, Christoph Busch)....Pages 225-259
Different Views on the Finger—Score-Level Fusion in Multi-Perspective Finger Vein Recognition (Bernhard Prommegger, Christof Kauba, Andreas Uhl)....Pages 261-305
Front Matter ....Pages 307-307
Retinal Vascular Characteristics (Lukáš Semerád, Martin Drahanský)....Pages 309-354
Vascular Biometric Graph Comparison: Theory and Performance (Arathi Arakala, Stephen Davis, K. J. Horadam)....Pages 355-393
Deep Sclera Segmentation and Recognition (Peter Rot, Matej Vitek, Klemen Grm, Žiga Emeršič, Peter Peer, Vitomir Štruc)....Pages 395-432
Front Matter ....Pages 433-433
Presentation Attack Detection for Finger Recognition (Jascha Kolberg, Marta Gomez-Barrero, Sushma Venkatesh, Raghavendra Ramachandra, Christoph Busch)....Pages 435-463
On the Recognition Performance of BioHash-Protected Finger Vein Templates (Vedrana Krivokuća, Sébastien Marcel)....Pages 465-480
Cancellable Biometrics for Finger Vein Recognition—Application in the Feature Domain (Simon Kirchgasser, Christof Kauba, Andreas Uhl)....Pages 481-506
Towards Measuring the Amount of Discriminatory Information in Finger Vein Biometric Characteristics Using a Relative Entropy Estimator (Vedrana Krivokuća, Marta Gomez-Barrero, Sébastien Marcel, Christian Rathgeb, Christoph Busch)....Pages 507-525
Back Matter ....Pages 527-533
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