TY  - BOOK
AU  - Ross,Arun A.
AU  - Jain,Anil K.
AU  - Nandakumar,Karthik
ED  - SpringerLink (Online service)
TI  - Handbook of Multibiometrics
T2  - International Series on Biometrics
SN  - 9780387331232
U1  - 006.4 23
PY  - 2006///
CY  - Boston, MA
PB  - Springer US
KW  - COMPUTER SCIENCE
KW  - DATA STRUCTURES (COMPUTER SCIENCE)
KW  - DATA ENCRYPTION (COMPUTER SCIENCE)
KW  - MULTIMEDIA SYSTEMS
KW  - COMPUTER VISION
KW  - OPTICAL PATTERN RECOGNITION
KW  - PATTERN RECOGNITION
KW  - IMAGE PROCESSING AND COMPUTER VISION
KW  - DATA ENCRYPTION
KW  - DATA STRUCTURES, CRYPTOLOGY AND INFORMATION THEORY
KW  - MULTIMEDIA INFORMATION SYSTEMS
KW  - COMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS
N1  - Biometrics: When Identity Matters -- Information Fusion in Biometrics -- Levels of Fusion in Biometrics -- Score Level Fusion -- Fusion Incorporating Ancillary Information
N2  - 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
UR  - http://dx.doi.org/10.1007/0-387-33123-9
ER  -