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.