Kryszczuk, K.Richiardi, J.Prodanov, P.Drygajlo, A.2006-12-072006-12-072006-12-072005https://infoscience.epfl.ch/handle/20.500.14299/237733In 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.text::conference output::conference proceedings::conference paper