An Efficient Fuzzy Method for Handwritten Character Recognition

Romesh Ranawana, Vasile Palade, G. E M D C Bandara

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

15 Citations (Scopus)

Abstract

The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Due to its low computational requirement, fuzzy logic is probably the most efficient method available for on-line character recognition. The most tedious task associated with using fuzzy logic for online character recognition is the building of the rule-base that would describe the characters to be recognized. The problem is complicated as different people write the same character in complete different ways. This paper describes a method that can be used to generate a fuzzy value database that describes the characters written by different individuals.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems
EditorsMircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
Place of PublicationBerlin
PublisherSpringer Verlag
Pages698-707
Number of pages10
Volume3214
ISBN (Electronic)978-3-540-30133-2
ISBN (Print)978-3-540-23206-3
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems - Wellington, New Zealand
Duration: 20 Sept 200425 Sept 2004

Conference

Conference8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems
Abbreviated titleKES 2004
Country/TerritoryNew Zealand
CityWellington
Period20/09/0425/09/04

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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