Overview
- Maximizes reader insights into new biometric technologies such as high- resolution fingerprint, finger-knuckle-print and multi-spectral iris recognition technologies
- Analyzes how these technologies have been implemented in different biometric systems
- Highlights experimental results gleaned under challenging conditions
- Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
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Front Matter
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Background of Multispectral Biometrics
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Front Matter
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Multispectral Iris Recognition
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Front Matter
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Multispectral Palmprint Recognition
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Front Matter
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Multispectral Hand Dorsal Recognition
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Front Matter
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Conclusion and Future Work
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Front Matter
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Back Matter
Keywords
About this book
Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author’s research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.
Authors and Affiliations
About the authors
He is the Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Book Editor, Springer International Series on Biometrics (KISB); Organizer, the first International Conference on Biometrics Authentication (ICBA); Associate Editor of more than ten international journals including IEEE Transactions; Technical Committee Chair of IEEE SMC and the author of more thanSpeaker of the IEEE Computer Society, and a Fellow of both IEEE and IAPR.
Bibliographic Information
Book Title: Multispectral Biometrics
Book Subtitle: Systems and Applications
Authors: David Zhang, Zhenhua Guo, Yazhuo Gong
DOI: https://doi.org/10.1007/978-3-319-22485-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-22484-8Published: 23 September 2015
Softcover ISBN: 978-3-319-36985-3Published: 25 October 2016
eBook ISBN: 978-3-319-22485-5Published: 14 September 2015
Edition Number: 1
Number of Pages: XI, 229
Number of Illustrations: 129 b/w illustrations
Topics: Signal, Image and Speech Processing, Biometrics, Biomedical Engineering and Bioengineering