Benefit of multiclassifier systems for Arabic handwritten words recognition

Authors:
FARAH Nadir;ENNAJI Abdelatif;KHADIR Tarek;SELLAMI Mokhtar
Affiliations:
Universite Badji Mokhtar - Annaba- BP, France;Universite Badji Mokhtar - Annaba- BP, France;Universite Badji Mokhtar - Annaba- BP, France;Universite Badji Mokhtar - Annaba- BP, France
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

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Abstract

In order to improve the results of single classijiers, the study of multiple classifier systems has become an area of intensive research in pattern recognition. In this paper, two types of features are fed to a number of Artificial Neural Networks (ANN). Then, their respective responses are combined for the recognition of handwritten Arabic literal words. Different parallel combination schemes are presented, including the use of an ANN as a meta classrfier. Their results are then com~ared and conclusions on the most suitable approach are drawn.