Overview
- First book to focus on aspects common to all biometric recognition systems, including input data (biometrics images, and person metadata) plus output (scores) of these systems which leads to a focus on user and group level performance
- Case studies and examples from several major biometric modalities included
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Table of contents (12 chapters)
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Front Matter
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An Overview of Biometrics
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Front Matter
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The Biometric Performance Hierarchy
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Front Matter
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Special Topics in Biometric Data Analysis
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Front Matter
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Back Matter
Keywords
About this book
Biometric System and Data Analysis: Design, Evaluation, and Data Mining brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluate, interpret and understand biometric data. This professional book naturally leads to topics including data mining and prediction--widely applied to other fields but not rigorously to biometrics--to be examined in detail.
This volume places an emphasis on the various performance measures available for biometric systems, what they mean, and when they should and should not be applied. The evaluation techniques are presented rigorously, however are always accompanied by intuitive explanations that convey the essence of the statistical concepts to a general audience.
Designed for a professional audience composed of practitioners and researchers in industry, Biometric System and Data Analysis: Design, Evaluation, and Data Mining is also suitable as a reference for advanced-level students in computer science and engineering.
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Editors and Affiliations
Bibliographic Information
Book Title: Biometric System and Data Analysis
Book Subtitle: Design, Evaluation, and Data Mining
Editors: Ted Dunstone, Neil Yager
DOI: https://doi.org/10.1007/978-0-387-77627-9
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-77625-5Published: 02 December 2008
Softcover ISBN: 978-1-4419-4595-2Published: 05 November 2010
eBook ISBN: 978-0-387-77627-9Published: 31 October 2008
Edition Number: 1
Number of Pages: XX, 268
Topics: Biometrics, Probability Theory and Stochastic Processes, Applications of Mathematics, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Mining and Knowledge Discovery, Artificial Intelligence