A Toplogy Based Multi-Classifier System

Authors:
Yann Prudent;Abdellatif Ennaji
Affiliations:
University and INSA of Rouen PSI Laboratory, France;University and INSA of Rouen PSI Laboratory, France
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

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Abstract

This paper introduces a new scheme for the general problem of classification task-solving by designing a multiclassifier system. The distribution process respects the data topology in the feature space in order to reach reliable decisions. To this end we use a self-organizing network which give a graph which represent the data topology. During the decision process this graph is used to activate the appropriate classifiers among a set of committee experts. Comparative results are given for a handwritten digit recognition problem.