Abstract:
Unimodal biometric systems have to contend with a variety of problems such as noisy data, intra-class variations, restricted degrees of freedom, non-universality, spoof a...Show MoreMetadata
Abstract:
Unimodal biometric systems have to contend with a variety of problems such as noisy data, intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and unacceptable error rates. Some of these limitations can be addressed by deploying multimodal biometric systems that integrate the evidence presented by multiple sources of information. This paper discusses the various scenarios that are possible in multimodal biometric systems, the levels of fusion that are plausible and the integration strategies that can be adopted to consolidate information. We also present several examples of multimodal systems that have been described in the literature.
Published in: 2004 12th European Signal Processing Conference
Date of Conference: 06-10 September 2004
Date Added to IEEE Xplore: 06 April 2015
Print ISBN:978-320-0001-65-7
Conference Location: Vienna, Austria