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Computer Science - Image Processing | Handbook of Multibiometrics

Handbook of Multibiometrics

Ross, Arun A., Nandakumar, Karthik, Jain, Anil

Originally published in the series: Int. Ser. Biomet.

2006, XXI, 198 p.

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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.

Content Level » Research

Keywords » Fusion - Handbook - Identification - Multibiometrics - Multiple sensors - Performance - Verification - biometrics

Related subjects » Image Processing - Information Systems and Applications - Security and Cryptology

Table of contents / Sample pages 

Biometrics: When Identity Matters.- Information Fusion in Biometrics.- Levels of Fusion in Biometrics.- Score Level Fusion.- Fusion Incorporating Ancillary Information.

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