Editors:
- Provides insights in theory, applications, and perspectives relevant to the field of biomedical engineering
- Covers a wide range of technologies and recognition techniques including advanced biomedical approaches
- Written by leading experts in the field
Part of the book series: Smart Sensors, Measurement and Instrumentation (SSMI, volume 40)
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Table of contents (13 chapters)
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Front Matter
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Authentication Based on Measurements of Human Characteristics
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Front Matter
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Authentication by biological Signals
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Front Matter
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Algorithm Based Methods of Multimodal Authentication
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Front Matter
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About this book
The book highlights recent developments in human biometrics, covering a wide range of methods based on biological signals, image processing, and measurements of human characteristics such as fingerprints and iris or medical characteristics. Human Biometrics is becoming increasingly crucial in forensics security and medicine. They provide a solid basis for identifying individuals based on unique physical characteristics or diseases based on characteristic biomedical measurements. As such, the book offers an essential reference guide about biometry methods for students, engineers, designers, and technicians.
Editors and Affiliations
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Department of Electrical Engineering, Engineering High School of Sfax, University of Sfax, Sfax, Tunisia
Nabil Derbel
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Chair for Measurement and Sensor Technology, Department of Electrical Engineering and Information Technology, Chemnitz University of Technology, Chemnitz, Germany
Olfa Kanoun
Bibliographic Information
Book Title: Advanced Methods for Human Biometrics
Editors: Nabil Derbel, Olfa Kanoun
Series Title: Smart Sensors, Measurement and Instrumentation
DOI: https://doi.org/10.1007/978-3-030-81982-8
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-81981-1Published: 30 September 2021
Softcover ISBN: 978-3-030-81984-2Published: 01 October 2022
eBook ISBN: 978-3-030-81982-8Published: 29 September 2021
Series ISSN: 2194-8402
Series E-ISSN: 2194-8410
Edition Number: 1
Number of Pages: X, 303
Number of Illustrations: 32 b/w illustrations, 137 illustrations in colour
Topics: Biological and Medical Physics, Biophysics, Materials Science, general, Signal, Image and Speech Processing, Data Engineering