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Handbook of Multibiometrics

By: Arun A. Ross, Karthik Nandakumar, Anil K. Jain

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Hardcover | 4 July 2006

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Hardcover
226 Pages

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23.39 x 15.6 x 1.42

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$199.02

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Consistent advances in biometrics help to address problems that plague traditional human recognition methods and offer significant promise for applications in security as well as general convenience. In particular, newly evolving systems can measure multiple physiological or behavioral traits and thereby increase overall reliability that much more. Multimodal Biometrics provides an accessible, focused examination of the science and technology behind multimodal human recognition systems, as well as their ramifications for security systems and other areas of application. After clearly introducing multibiometric systems, the book demonstrates the noteworthy advantages of these systems over their traditional and unimodal counterparts. In addition, the work describes the various scenarios possible when consolidating evidence from multiple biometric systems.This authoritative, comprehensive volume on multimodal biometric systems concisely and clearly outlines their great promise for higher reliability than conventional human verification systems. It is an essential resource for researchers, professionals, and students who will need to know and use the concepts, principles, and methods of advanced biometrics.

Industry Reviews

From the reviews:

"This book is intended to provide an overview of the state of the art in multibiometrics and technology. The authors are active researchers in the field, and have already published an extensive list of works closely related to this volume, giving them strong knowledge base. ... Overall, the book is easy to read and includes a significant body of background literature. ... computing professional can benefit from reading it, as the book constitutes a good example of the current research in the biometric authentication field." (Stefan Robila, Computing Reviews, January, 2007)

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You Can Find This Book In

Non-Fiction Science Biology, Life Sciences Computing & I.T.Computer Science Artificial Intelligence Computer Vision Pattern Recognition Graphical & Digital Media Applications Image Processing Computer Security Data Encryption

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Paperback

Published: 11th February 2011

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List of Figures	p. vii
List of Tables	p. xvii
Preface	p. xix
Biometrics: When Identity Matters	p. 1
Introduction	p. 1
Operation of a biometric system	p. 5
Verification versus identification	p. 8
Performance of a biometric system	p. 10
Applications of biometrics	p. 17
Biometric characteristics	p. 19
Limitations of biometric systems	p. 24
Biometric standards	p. 29
Multibiometric systems	p. 31
Summary	p. 32
Information Fusion in Biometrics	p. 37
Introduction	p. 37
Fusion in biometrics	p. 40
Issues in designing a multibiometric system	p. 42
Sources of multiple evidence	p. 44
Acquisition and processing architecture	p. 51
Levels of fusion	p. 55
Summary	p. 57
Levels of Fusion in Biometrics	p. 59
Introduction	p. 59
Sensor level fusion	p. 60
Feature level fusion	p. 64
Rank level fusion	p. 70
Decision level fusion	p. 73
Summary	p. 82
Score Level Fusion	p. 91
Introduction	p. 91
Classifier combination rules	p. 93
Score fusion techniques	p. 98
Density-based score fusion	p. 99
Transformation-based score fusion	p. 111
Classifier-based score fusion	p. 124
Comparison of score fusion techniques	p. 128
User-specific score fusion	p. 131
Summary	p. 141
Fusion Incorporating Ancillary Information	p. 143
Introduction	p. 143
Quality-based fusion	p. 143
Soft biometrics	p. 159
Summary	p. 172
Appendices	p. 173
Evaluation of multibiometric systems	p. 173
Biometric system evaluation	p. 173
Issues in multibiometric system evaluation	p. 174
Multimodal biometric databases	p. 176
References	p. 179
Index	p. 195
Table of Contents provided by Ingram. All Rights Reserved.

Handbook of Multibiometrics

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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