Comparison of Image Analysis for Thai Handwritten Character Recognition

  • Olarik Surinta
  • Chatklaw Jareanpon
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 228)


This paper is proposing the method for Thai handwritten character recognition. The methods are Robust C-Prototype and Back-Propagation Neural Network. The objective of experimental is recognition on Thai handwritten character. This is the result of both methods to be appearing accuracy more than 85%.


Robust C-Prototype Back-Propagation Neural Network Thai Handwritten Character Recognition 


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Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • Olarik Surinta
    • 1
  • Chatklaw Jareanpon
    • 1
  1. 1.Department of Computer Science and Management Information System, Faculty of InformaticsMahasarakham UniversityMahasarakham CityThailand

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