Biometric System and Data Analysis

Design, Evaluation, and Data Mining

  • Ted Dunstone
  • Neil Yager

Table of contents

  1. Front Matter
    Pages i-xx
  2. An Overview of Biometrics

    1. Front Matter
      Pages 1-2
    2. Pages 45-69
    3. Pages 71-80
    4. Pages 99-108
  3. The Biometric Performance Hierarchy

  4. Special Topics in Biometric Data Analysis

    1. Front Matter
      Pages 203-204
    2. Pages 205-221
    3. Pages 247-262
  5. Back Matter
    Pages 263-267

About this book

Introduction

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.

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 in a general manner.

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.

 

Keywords

2008 book Biometric Data Mining Evaluation Performance algorithms biometrics cognition currentsmp data analysis learning machine learning optimization verification

Editors and affiliations

  • Ted Dunstone
    • 1
  • Neil Yager
    • 1
  1. 1.Biometix National Innovation CentreThe Australian Technology ParkEveleighAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-77627-9
  • Copyright Information Springer US 2009
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-77625-5
  • Online ISBN 978-0-387-77627-9
  • About this book