Authors:
- Introduces some new technologies into the biometric family
- Introduces a range of efficient feature extraction, matching, and fusion algorithms
- Presents techniques that are strongly supported by experimental results and developed systems
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Table of contents (15 chapters)
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Front Matter
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High Resolution Fingerprint Recognition
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Front Matter
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Other Hand-Based Biometrics
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Front Matter
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Some New Head-Based Biometrics
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Front Matter
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About this book
This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics.
Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especia
lly in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.Authors and Affiliations
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The Hong Kong Polytechnic University , Hong Kong, China
David Zhang, Lei Zhang
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Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China
Guangming Lu
About the authors
Bibliographic Information
Book Title: Advanced Biometrics
Authors: David Zhang, Guangming Lu, Lei Zhang
DOI: https://doi.org/10.1007/978-3-319-61545-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-61544-8Published: 16 August 2017
Softcover ISBN: 978-3-319-87107-3Published: 07 August 2018
eBook ISBN: 978-3-319-61545-5Published: 08 August 2017
Edition Number: 1
Number of Pages: XIII, 335
Number of Illustrations: 30 b/w illustrations
Topics: Signal, Image and Speech Processing, Biometrics, Biomedical Engineering and Bioengineering