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.


Presented at:
None
Laboratories:




 Record created 2006-12-07, last modified 2018-01-27


Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)