Toward an On-Line Handwriting Recognition System Based on Visual Coding and Genetic Algorithm

  • M. Kherallah
  • F. Bouri
  • A.M. Alimi

Abstract

One of the most promising methods of interacting with small portable computing devices, such as personal digital assistants, is the use of handwriting. In order to make this communication method more natural, we proposed to visually observe the writing process on ordinary paper and to automatically recover the pen trajectory from numerical tablet sequences. On the basis of this work we developed handwriting recognition system based on visual coding and genetic algorithm. The system was applied on Arabic script. In this paper we will present the different steps of the handwriting recognition system. We focus our contribution on genetic algorithm method.

Keywords

Genetic Algorithm Handwriting Recognition Visual Code Arabic Word Handwritten Word 
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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References

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Copyright information

© Springer-Verlag/Wien 2005

Authors and Affiliations

  • M. Kherallah
    • 1
  • F. Bouri
    • 1
  • A.M. Alimi
    • 1
  1. 1.REGIM: Research Group on Intelligent Machines, Department of Electrical EngineeringUniversity of Sfax, ENISTunisia

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