DocumentCode
635829
Title
Improved Fuzzy-Based Single-Stroke Character Recognizer
Author
Tormasi, Alex ; Koczy, Laszlo T.
Author_Institution
Dept. of Autom., Szechenyi Istvan Univ., Gyor, Hungary
fYear
2013
fDate
24-28 June 2013
Firstpage
430
Lastpage
435
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.
Keywords
character recognition; fuzzy set theory; knowledge based systems; FUBAR algorithm; fuzzy-based single-stroke character recognizer algorithm; hierarchical rule-bases; rule weights; symbol features; symbol-dependent fuzzy grids; Accuracy; Algorithm design and analysis; Character recognition; Computational efficiency; Handwriting recognition; Keyboards; Microorganisms;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location
Edmonton, AB
Type
conf
DOI
10.1109/IFSA-NAFIPS.2013.6608439
Filename
6608439
Link To Document