Overview
- Provides a global perspective with a common evaluation scheme and methodology
- Biometrics Reference and Evaluation Toolkit provided via Web
- Offers readers a tool for a better evaluation of their algorithms by giving them the instruments to fully reproduce the benchmarking (reference) experiments (software, database, experimental protocols)
- Examines current research results with this framework
- Includes supplementary material: sn.pub/extras
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Our daily interactions are based on recognizing people. As information technology advances, our interactions will be accomplished through newly designed interfaces, with a vital element being the automated process of recognition of a person’s real identity: Biometrics. In recent years, biometrics has moved from using fingerprints, to many different methods of assessing human physical and behavioural traits.
This useful guide introduces a new performance evaluation framework designed to provide complete coverage of performance evaluation of major biometric systems. Two key areas are presented: The first gives a unique snapshot of the performance evaluation of various biometrics within a common evaluation framework (databases and protocols). The second presents a state-of-the-art benchmarking evaluation framework for use in future performance evaluations – comprised of open-source reference systems.
Features and benefits:
• Includes a Foreword by renowned biometric expert Prof. Anil K. Jain, Michigan State University, USA
• Introduces the concept of reproducible results and comparative evaluations
• Presents an extensive benchmarking methodology
• Describes reference algorithms in detail, with a link to source code
• Biometrics Reference and Evaluation Toolkit provided via http://share.int-evry.fr/svnview-eph/
• Implements this methodology throughout all chapters
• Offers readers a tool for a better evaluation of their algorithms by giving them the instruments to fully reproduce the benchmarking (reference) experiments (software, database, experimental protocols)
• Provides a global perspective with a common evaluation scheme and methodology
• Examines current research results with this framework
• Consolidates results from publicly available databases, using well defined protocols
This unique text/reference combines state-of-the-artresearch with practical tools for researchers, practitioners and graduates in the field of Biometrics and Pattern Recognition, and with its comprehensive coverage, it will prove an indispensable resource and frequently used tool.
Key topics
BioSecure Benchmarking Methodology
Biometric Performance Evaluation
Iris Recognition
Fingerprint Recognition
Hand Recognition
Online Handwritten Signature Verification
Text-independent Speaker Verification
2D and 3D Face Recognition
Talking Face Verification
Reviews
From the reviews:
"This book is an anthology of state-of-the-art research papers that evolved from the BioSecure Network of Excellence (NoE) project, supported by the European Commission. … This book is a fascinating treatise on a topic of enormous importance and interest in today’s complex online world. It is well written, rigorous, and identifies open-source reference software, benchmarking databases, and protocols. It is intended as a reference for graduate students, researchers, and practitioners in the biometrics field. As such, it is extremely valuable for the intended audience." (Charles K. Davis, ACM Computing Reviews, June, 2009)
Bibliographic Information
Book Title: Guide to Biometric Reference Systems and Performance Evaluation
Editors: Bernadette Dorizzi, Gérard Chollet, Dijana Petrovska-Delacrétaz
DOI: https://doi.org/10.1007/978-1-84800-292-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84800-291-3Published: 02 April 2009
Softcover ISBN: 978-1-84996-771-6Published: 13 October 2010
eBook ISBN: 978-1-84800-292-0Published: 05 April 2009
Edition Number: 1
Number of Pages: XXX, 382
Number of Illustrations: 131 b/w illustrations, 15 illustrations in colour
Topics: Pattern Recognition, Biometrics, Computer Imaging, Vision, Pattern Recognition and Graphics