Handbook of Vascular Biometrics by Andreas Uhl
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.-
NETLAB
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Multimodal Collaborative Perception for Unmanned Systems
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Advances in Photometric 3D-Reconstruction
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Active Lighting and Its Application for Computer Vision
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
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Selfie Biometrics
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Natural User Interfaces in Medical Image Analysis
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Advanced Algorithmic Approaches to Medical Image Segmentation
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Markov Models for Pattern Recognition
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Statistical Learning and Pattern Analysis for Image and Video Processing
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An Introduction to Object Recognition
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Human Recognition at a Distance in Video
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Nonlinear Eigenproblems in Image Processing and Computer Vision
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Autonomous Intelligent Vehicles
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Similarity-Based Pattern Analysis and Recognition
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Hyperspectral Image Analysis
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Guide to OCR for Indic Scripts
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Automatic Digital Document Processing and Management
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Multispectral Satellite Image Understanding
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Guide to Three Dimensional Structure and Motion Factorization
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Machine Learning for Vision-Based Motion Analysis
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Handbook of Remote Biometrics
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Fusion in Computer Vision
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Compression Schemes for Mining Large Datasets
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Shape Perception in Human and Computer Vision
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Imaging Spectroscopy for Scene Analysis
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Visual Question Answering
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Tensors in Image Processing and Computer Vision
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Handbook of Biometric Anti-Spoofing
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Computer Vision Beyond the Visible Spectrum
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Image Registration
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Statistical and Neural Classifiers
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Contactless 3D Fingerprint Identification
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Hierarchical Perceptual Grouping for Object Recognition
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Adaptive Biometric Systems
Dr. Andreas Uhl is a Full Professor for Computer Science at the Department of Computer Science at the University of Salzburg, Austria and leads the Multimedia Signal Processing and Security Lab. His other publications include the Springer title Iris Biometrics: From Segmentation to Template Security and and Image and Video Encryption: From Digital Rights Management to Secured Personal Communication
Dr. Christoph Busch is a member of the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU), Norway, and of the Computer science faculty at Hochschule Darmstadt (HDA), Germany. He also lectures in Biometric Systems at the Technical University of Denmark (DTU).
Dr Sébastien Marcel is a Senior Researcher and Head of the Biometrics Security and Privacy group at the Idiap Research Institute, Martigny, Switzerland. His other publications include the Springer title Handbook of Biometric Anti-Spoofing.
Dr. Raymond Veldhuis is a Full Professor of Biometric Pattern Recognition in the Data Management and Biometrics group at the University of Twente, Enschede, The Netherlands.
| SKU | Unavailable |
| ISBN 13 | 9783030277338 |
| ISBN 10 | 303027733X |
| Title | Handbook of Vascular Biometrics |
| Author | Andreas Uhl |
| Series | Advances In Computer Vision And Pattern Recognition |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2020-09-11 |
| Number of pages | 533 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |