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Character Recognition by Means of Fuzzy Set Reasoning

  • J. Mantas
Part of the NATO ASI Series book series (ASIC, volume 177)

Abstract

This paper presents the use of fuzzy set reasoning in the pattern classification stage of a character recogniser. The preprocessing stage involves thinning and tai1-removal, whereas the feature generation stage consists of polygonal approximation and the extraction of the various features. The classification is performed by a parallel fuzzy labelling method tested both on English (Latin) and Greek handwritten characters pointing out the flexibility of the method.

Keywords

Character Recognition Polygonal Approximation Handwritten Character Real Node Handwritten Character Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© D. Reidel Publishing Company 1986

Authors and Affiliations

  • J. Mantas
    • 1
  1. 1.Paleo FaliroGreece

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