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Biometric System and Data Analysis

Design, Evaluation, and Data Mining

By Ted Dunstone , Neil Yager

  • eBook Price: $89.99
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This book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. The evaluation techniques are presented rigorously and are accompanied by intuitive explanations.

Full Description

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  • ISBN13: 978-0-3877-7625-5
  • 288 Pages
  • User Level: Science
  • Publication Date: October 31, 2008
  • Available eBook Formats: PDF
Full Description
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.
Table of Contents

Table of Contents

  1. Preface.
  2. Preliminaries.
  3. Biometric Evaluation Fundamentals.
  4. Biometric Data.
  5. Performance evaluation Hierarchy.
  6. System Evaluation: The Statistical Basis for Biometric Systems.
  7. Verification.
  8. Identification (open vs closed).
  9. Enrollment Measures.
  10. Individual Evaluation: The Biometric Menagerie.
  11. Group Evaluation: Data Mining for Biometrics.
  12. Special Topics in Biometric Evaluations.
  13. System Setup and Optimization.
  14. The Evaluation of Systems in Production.
  15. Evaluating Surveillance Systems.
  16. Conclusion.
  17. References.
  18. Index.
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