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First book that focuses on the aspects common to all biometric recognition systems, including the input data (biometrics images, and person meta data) and output (scores) of these systems. This leads to a focus on user and group level performance
Evaluation techniques are accompanied by intuitive explanations
Case studies and examples from several major biometric modalities are included
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.
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.