Multimodal biometric systems use multiple sensors to capture data about different biometric traits, such as fingerprints, iris patterns, signatures, and gait, thereby offering the promise of higher reliability than conventional human verification systems that rely on merely any one of these traits. Here is an accessible, focused examination of the science and technology behind multimodal human recognition systems, as well as the ramifications for security systems and other areas of application. After clearly introducing multibiometric systems, this book demonstrates the noteworthy advantages of these systems over their traditional and unimodal counterparts. In addition, this work describes the various scenarios possible when consolidating evidence from multiple biometric systems. This authoritative, comprehensive handbook on multimodal biometric systems concisely and clearly outlines their great promise for higher reliability than conventional human verification systems.
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Dr. Anil K. Jain is University Distinguished Professor and Douglas E. Zongker endowed professor at Michigan State University. Dr. Arun Ross is Martin J. Vanderploeg Endowed Professor at Michigan State University. Dr. Karthik Nandakumar is an Associate Professor of Computer Vision at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI). Thomas Swearingen is a Graduate Research Assistant at Michigan State University pursuing his Ph.D. in biometrics. The authors' many publications include the Springer titles Selfie Biometrics: Advances and Challenges, Encyclopedia of Biometrics, Handbook of Face Recognition, Handbook of Fingerprint Recognition, Handbook of Biometrics, Handbook of Multibiometrics, and Biometric Systems: Technology, Design and Performance.
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.
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Taschenbuch. Zustand: Neu. Handbook of Multibiometrics | Arun A. Ross (u. a.) | Taschenbuch | International Series on Biometrics | xxii | Englisch | 2011 | Springer | EAN 9781441935472 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 107252624
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 performanceand 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. Artikel-Nr. 9781441935472
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