On the Recognition Performance of BioHash-Protected Finger Vein Templates (English)
Free access
- New search for: Krivokuća, Vedrana
- New search for: Marcel, Sébastien
- New search for: Krivokuća, Vedrana
- New search for: Marcel, Sébastien
In:
Handbook of Vascular Biometrics
;
465-480
;
2019
- Article/Chapter (Book) / Electronic Resource
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Title:On the Recognition Performance of BioHash-Protected Finger Vein Templates
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Contributors:Krivokuća, Vedrana ( author ) / Marcel, Sébastien ( author )
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Published in:Handbook of Vascular Biometrics ; 465-480
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2019-11-14
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Size:16 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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State of the Art in Vascular BiometricsUhl, Andreas et al. | 2019
- 63
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A High-Quality Finger Vein Dataset Collected Using a Custom-Designed Capture DeviceVeldhuis, Raymond / Spreeuwers, Luuk / Ton, Bram / Rozendal, Sjoerd et al. | 2019
- 77
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OpenVein—An Open-Source Modular Multipurpose Finger Vein Scanner DesignKauba, Christof / Prommegger, Bernhard / Uhl, Andreas et al. | 2019
- 113
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An Available Open-Source Vein Recognition FrameworkKauba, Christof / Uhl, Andreas et al. | 2019
- 145
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Use Case of Palm Vein AuthenticationShinzaki, Takashi et al. | 2019
- 159
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Evolution of Finger Vein Biometric Devices in Terms of UsabilityHimaga, Mitsutoshi / Ogata, Hisao et al. | 2019
- 179
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Towards Understanding Acquisition Conditions Influencing Finger Vein RecognitionKirchgasser, Simon / Kauba, Christof / Uhl, Andreas et al. | 2019
- 201
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Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training LabelsJalilian, Ehsaneddin / Uhl, Andreas et al. | 2019
- 225
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Efficient Identification in Large-Scale Vein Recognition Systems Using Spectral Minutiae RepresentationsMokroß, Benedikt-Alexander / Drozdowski, Pawel / Rathgeb, Christian / Busch, Christoph et al. | 2019
- 261
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Different Views on the Finger—Score-Level Fusion in Multi-Perspective Finger Vein RecognitionPrommegger, Bernhard / Kauba, Christof / Uhl, Andreas et al. | 2019
- 309
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Retinal Vascular CharacteristicsSemerád, Lukáš / Drahanský, Martin et al. | 2019
- 355
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Vascular Biometric Graph Comparison: Theory and PerformanceArakala, Arathi / Davis, Stephen / Horadam, K. J. et al. | 2019
- 395
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Deep Sclera Segmentation and RecognitionRot, Peter / Vitek, Matej / Grm, Klemen / Emeršič, Žiga / Peer, Peter / Štruc, Vitomir et al. | 2019
- 435
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Presentation Attack Detection for Finger RecognitionKolberg, Jascha / Gomez-Barrero, Marta / Venkatesh, Sushma / Ramachandra, Raghavendra / Busch, Christoph et al. | 2019
- 465
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On the Recognition Performance of BioHash-Protected Finger Vein TemplatesKrivokuća, Vedrana / Marcel, Sébastien et al. | 2019
- 481
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Cancellable Biometrics for Finger Vein Recognition—Application in the Feature DomainKirchgasser, Simon / Kauba, Christof / Uhl, Andreas et al. | 2019
- 507
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Towards Measuring the Amount of Discriminatory Information in Finger Vein Biometric Characteristics Using a Relative Entropy EstimatorKrivokuća, Vedrana / Gomez-Barrero, Marta / Marcel, Sébastien / Rathgeb, Christian / Busch, Christoph et al. | 2019