Biometric System and Data Analysis: Design, Evaluation, and Data Mining
Autor Ted Dunstone, Neil Yageren Limba Engleză Hardback – 2 dec 2008
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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Specificații
ISBN-13: 9780387776255
ISBN-10: 0387776257
Pagini: 267
Ilustrații: XX, 268 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:2009
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 0387776257
Pagini: 267
Ilustrații: XX, 268 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:2009
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
Professional/practitionerCuprins
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.
Recenzii
From the reviews:“This book brings together a discussion on biometric systems, statistics, and machine learning. Its aim is to help us understand biometric data, measurements of such systems, and the ability to interpret them is highly desirable. … The book suits the needs of many practitioners, those involved with data in all its forms, and also would make useful reading for those who are studying systems, cybernetics, and management in the many and varied courses now being made available worldwide.” (W. R. Howard, Kybernetes, Vol. 38 (9), 2009)
Textul de pe ultima copertă
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.
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.
Caracteristici
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