Improved fuzzy-based single-stroke character recognizer

A. Tormási, L. T. Kóczy

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

1 Citation (Scopus)

Abstract

In this paper we present two modified and improved versions of the formerly published Fuzzy-Based Single-Stroke Character Recognizer (FUBAR) algorithm. After introducing the original method, the study investigates the effects of two different improvements of the designed algorithm. The first extension is the use of symbol-dependent fuzzy grids to extract symbol features; the second one is the use of rule weights in hierarchical rule-bases. The accuracy and efficiency of the extended FUBAR algorithms are compared to previous results.

Original languageEnglish
Title of host publicationProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Pages430-435
Number of pages6
DOIs
Publication statusPublished - Oct 31 2013
Event9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 - Edmonton, AB, Canada
Duration: Jun 24 2013Jun 28 2013

Publication series

NameProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013

Other

Other9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
CountryCanada
CityEdmonton, AB
Period6/24/136/28/13

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Tormási, A., & Kóczy, L. T. (2013). Improved fuzzy-based single-stroke character recognizer. In Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 (pp. 430-435). [6608439] (Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013). https://doi.org/10.1109/IFSA-NAFIPS.2013.6608439