A customizable fuzzy system for offline handwritten character recognition

Rukshan Batuwita, Vasile Palade, Dharmapriya C. Bandara

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Automated offline handwritten character recognition involves the development of computational methods that can generate descriptions of the handwritten objects from scanned digital images. This is a challenging computational task, due to the vast impreciseness associated with the handwritten patterns of different individuals. Therefore, to be successful, any solution should employ techniques that can effectively handle this imprecise knowledge. Fuzzy Logic, with its ability to deal with the impreciseness arisen due to lack of knowledge, could be successfully used to develop automated systems for handwritten character recognition. This paper presents an approach towards the development of a customizable fuzzy system for offline handwritten character recognition.

Original languageEnglish
Pages (from-to)425-455
Number of pages31
JournalInternational Journal on Artificial Intelligence Tools
Issue number3
Publication statusPublished - Jun 2011
Externally publishedYes


  • adaptability
  • character recognition
  • character segmentation
  • Fuzzy systems

ASJC Scopus subject areas

  • Artificial Intelligence


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