Multibiometrics for Human Identification (Hardcover)

Bir Bhanu

ISBN 10: 0521115965 / ISBN 13: 9780521115964

Published by Cambridge University Press, Cambridge, 2011

About this Item

Hardcover. In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification and performance evaluation and prediction. This book addresses research issues regarding multibiometrics for human identification, examining their advantages and evaluation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780521115964

Bibliographic Details

• Title: Multibiometrics for Human Identification (Hardcover)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2011
• Language: English
• ISBN 10: 0521115965
• ISBN 13: 9780521115964
• Binding: Hardcover
• Condition: new

About this title

Synopsis

In today’s security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait, or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance, and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification, and performance evaluation and prediction.

About the Authors

Dr Bir Bhanu is the Distinguished Professor of Electrical Engineering and serves as the Director of the Interdisciplinary Center for Research in Intelligent Systems and the Visualization and Intelligent Systems Laboratory at the University of California, Riverside (UCR). He is a coauthor of seven authored books and three edited books, has 12 patents, and has authored more than 350 reviewed technical publications, including more than 100 journal papers.

Dr Venu Govindaraju is a UB Distinguished Professor of Computer Science and Engineering at the University at Buffalo (SUNY Buffalo) and the founder of the Center for Unified Biometrics and Sensors (CUBS). He has coauthored more than 300 reviewed technical papers, four U.S. patents and two books.