基本説明
Contents: Architecture and levels of fusion.- Techniques to perform classifier fusion.- Single biometric multiple features.- Single biometric multiple matchers.- Single biometric multiple units.- Multimodal biometrics.- Learning userspecific parameters.- and more.
Full Description
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 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 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.
Contents
Biometrics: When Identity Matters.- Information Fusion in Biometrics.- Levels of Fusion in Biometrics.- Score Level Fusion.- Fusion Incorporating Ancillary Information.
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