Infoscience

Conference paper

Error Handling in Multimodal Biometric Systems using Reliability Measures

In this paper, we present a framework for predicting and correcting classification decision errors based on modality reliability measures in a multimodal biometric system. In our experiments we use face and speech experts based on a recently proposed framework which uses Bayesian networks. The expert decisions and the accompanying information on their reliability are combined in a decision module that produces the final verification decision. The proposed system is consequently shown to yield higher decision accuracy than the corresponding unimodal systems.

    Reference

    • LSA-CONF-2005-025

    Record created on 2006-12-07, modified on 2016-08-08

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