Handbook of Multibiometrics von Arun A. Ross | ISBN 9781441935472

Handbook of Multibiometrics

von Arun A. Ross, Karthik Nandakumar und Anil K. Jain
Mitwirkende
Autor / AutorinArun A. Ross
Autor / AutorinKarthik Nandakumar
Autor / AutorinAnil K. Jain
Buchcover Handbook of Multibiometrics | Arun A. Ross | EAN 9781441935472 | ISBN 1-4419-3547-9 | ISBN 978-1-4419-3547-2

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)

Handbook of Multibiometrics

von Arun A. Ross, Karthik Nandakumar und Anil K. Jain
Mitwirkende
Autor / AutorinArun A. Ross
Autor / AutorinKarthik Nandakumar
Autor / AutorinAnil K. Jain

Reliable human authentication schemes are of paramount importance in our highly networked society.  Advances in  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 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.