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.

Addressing security and other problems that plague traditional verification methods, this unique book introduces multimodal biometric systems and describes the various scenarios possible when consolidating evidence from multiple sensors capturing different biometric traits Reveals the substantial advantages of multimodal systems over conventional identification methods Includes supplementary material: sn.pub/extras

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