A dynamic bayesian network based structural learning towards automated handwritten digit recognition

Authors:
Olivier Pauplin;Jianmin Jiang
Affiliations:
Digital Media & Systems Research Institute, University of Bradford, United Kingdom;Digital Media & Systems Research Institute, University of Bradford, United Kingdom
Venue:
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Year:
2010

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Abstract

Pattern recognition using Dynamic Bayesian Networks (DBNs) is currently a growing area of study In this paper, we present DBN models trained for classification of handwritten digit characters The structure of these models is partly inferred from the training data of each class of digit before performing parameter learning Classification results are presented for the four described models.