Description
This book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. It naturally leads to topics including data mining and prediction to be examined in detail. The book 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 they are always accompanied by intuitive explanations. This is important for the increased acceptance of biometrics among non-technical decision makers, and ultimately the general public. An Overview of Biometrics.- An Introduction to Biometric Data Analysis.- Biometric Matching Basics.- Biometric Data.- Multimodal Systems.- Performance Testing and Reporting.- Definitions.- The Biometric Performance Hierarchy.- System Evaluation: The Statistical Basis of Biometric Systems.- Individual Evaluation: The Biometric Menagerie.- Group Evaluation: Data Mining for Biometrics.- Special Topics in Biometric Data Analysis.- Proof of Identity.- Covert Surveillance Systems.- Vulnerabilities.
