ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

On Line Isolated Characters Recognition Using Dynamic Bayesian Networks

Journal: The International Arab Journal of Information Technology (Vol.8, No. 4)

Publication Date:

Authors : ;

Page : 406-413

Keywords : On line isolated character recognition; pattern recognition; and dynamic bayesian network;

Source : Downloadexternal Find it from : Google Scholarexternal

Abstract

In this paper, our system is a Markovien system which we can see it like a Dynamic Bayesian Networks. One of the major interests of these systems resides in the complete training of the models (topology and parameters) starting from training data. The representation of knowledge bases on description, by graphs, relations of causality existing between the variables defining the field of study. The theory of Dynamic Bayesian Networks is a generalization of the Bayesians Networks to the dynamic processes. Our objective amounts finding the better structure which represents the relationships (dependencies) between the variables of a dynamic bayesian network. In applications in pattern recognition, one will carry out the fixing of the structure which obliges us to admit some strong assumptions (for example independence between some variables).

Last modified: 2019-04-29 15:37:24