Handbook of Multibiometrics (International Series on Biometrics, 6)

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

ISBN 10: 1441935479 / ISBN 13: 9781441935472

Editore: Springer, 2011

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Dati bibliografici

• Titolo: Handbook of Multibiometrics (International Series on Biometrics, 6)
• Editore: Springer
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 1441935479
• ISBN 13: 9781441935472
• Rilegatura: Brossura
• Condizione: New

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Riassunto

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.

Dalla quarta di copertina

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.