Comparing the efficiency of a fuzzy single-stroke character recognizer with various parameter values

Alex Tormási, László T. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

In this paper the results of a study on the accuracy of a fuzzy logic-based single-stroke character recognizer are presented by refining various parameter values, such as resolution of the fuzzy grid and the minimum distance between sampled points. The symbol set is a modified version of Palm's Graffiti single-stroke alphabet and it contains 26 different symbols. Each symbol is represented by a single fuzzy rule. The rule base was determined by a subset of the collected samples. 99.4% recognition rate has been achieved with the initial rule base, without training. With the revised parameter values the accuracy is close or even slightly beyond the results of other academic or commercial systems.

Original languageEnglish
Title of host publicationAdvances in Computational Intelligence - 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Proceedings
Pages260-269
Number of pages10
EditionPART 1
DOIs
Publication statusPublished - Nov 2 2012
Event14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012 - Catania, Italy
Duration: Jul 9 2012Jul 13 2012

Publication series

NameCommunications in Computer and Information Science
NumberPART 1
Volume297 CCIS
ISSN (Print)1865-0929

Other

Other14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012
CountryItaly
CityCatania
Period7/9/127/13/12

Keywords

  • Single-stroke character recognition
  • bacterial evolutionary algorithm
  • fuzzy grid
  • fuzzy logic
  • fuzzy recognizer
  • punishment/reward

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Tormási, A., & Kóczy, L. T. (2012). Comparing the efficiency of a fuzzy single-stroke character recognizer with various parameter values. In Advances in Computational Intelligence - 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Proceedings (PART 1 ed., pp. 260-269). (Communications in Computer and Information Science; Vol. 297 CCIS, No. PART 1). https://doi.org/10.1007/978-3-642-31709-5_27