Synopses & Reviews
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 and examines multimodal system design and methods for computing user-specific parameters. Topics and features:*Introduces readers to the rapidly evolving field of multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems*Reveals the substantial advantages of multimodal systems over conventional identification methods*Shows how multimodal approaches address the problems of universality and spoofing*Describes techniques to perform fusion, especially at the matching score level*Examines existing multimodal databases and what they have to offer*Uses numerous examples and illustrations to support the explanationsThis 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.
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)
Reliable human authentication schemes are of paramount importance in our highly networked society. Advances in the field of biometrics help address the myriad of problems associated with traditional human recognition methods. The performance and benefits of a biometric system can be significantly enhanced by consolidating the evidence presented by multiple biometric sources. Multibiometric systems are expected to meet the stringent performance requirements imposed by large-scale authentication systems. Handbook of Multibiometrics, a professional book, introduces multibiometric systems, and demonstrates the noteworthy advantages of these systems over their unimodal counterparts. In addition, this book describes in detail the various scenarios that are possible when fusing biometric evidence from multiple information sources. This comprehensive volume on multibiometric systems concisely and clearly outlines the different fusion methodologies that have been proposed by researchers to integrate multiple biometric traits. Handbook of Multibiometrics is designed for a professional audience, composed of researchers and practitioners in the industry. This book is also suitable for graduate-level students as a secondary text in computer science within advanced biometrics.
Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.
Table of Contents
-Preface.- Biometrics: When Identity Matters.- Information Fusion in Biometrics.- Levels of Fusion in Biometrics.- Score Level Fusion.- Fusion Incorporating Ancillary Information.- Appendices.- References.- Index.