Decision Fusion and Contextual Information for Arabic Words Recognition for Computing and Informatics

Authors

  • Nadir Farah
  • Labiba Souici
  • Mokhtar Sellami

Keywords:

Arabic word recognition, holistic approach, multiclassifiers, decision fusion, contextual information

Abstract

The study of multiple classifier systems has become recently an area of intensive research in pattern recognition. Also in handwriting recognition, systems combining several classifiers have been investigated. An approach for recognizing the legal amount for handwritten Arabic bank check is described in this article. The solution uses multiple information sources to recognize words. The recognition step is preformed with a parallel combination of three kinds of classifiers using holistic word structural features. The classification stage results are first normalized, and the sum combination is performed as a decision fusion scheme, after which a syntactic analyzer makes final decision on the candidate words. Using this approach, the obtained results are very interesting and promising.

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Published

2012-02-06

How to Cite

Farah, N., Souici, L., & Sellami, M. (2012). Decision Fusion and Contextual Information for Arabic Words Recognition for Computing and Informatics. COMPUTING AND INFORMATICS, 24(5), 463–479. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/394