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
Consistent advances in biometrics help to address problems that plague traditional human recognition methods and offer significant promise for applications in security as well as general convenience. In particular, newly evolving systems can measure multiple physiological or behavioral traits and thereby increase overall reliability that much more. Multimodal Biometrics provides an accessible, focused examination of the science and technology behind multimodal human recognition systems, as well as their ramifications for security systems and other areas of application. After clearly introducing multibiometric systems, the book demonstrates the noteworthy advantages of these systems over their traditional and unimodal counterparts. In addition, the work describes the various scenarios possible when consolidating evidence from multiple biometric systems.This authoritative, comprehensive volume on multimodal biometric systems concisely and clearly outlines their great promise for higher reliability than conventional human verification systems.
It is an essential resource for researchers, professionals, and students who will need to know and use the concepts, principles, and methods of advanced biometrics.
