Title :
Fuzzy-based multi-stroke character recognizer
Author :
Tormasi, Alex ; Koczy, Laszlo T.
Author_Institution :
Szechenyi Istvan Univ., Györ, Hungary
Abstract :
In this paper an extension for multi-stroke character recognition of FUzzy BAsed handwritten character Recognition (FUBAR) algorithm will be presented. First the basic concept of a single-stroke version will be overviewed; in the second part of the paper the new version of the algorithm with multi-stroke symbol support will be introduced, which deploy the same algorithm overviewed in the first part and use flat and hierarchical rule bases.
Keywords :
fuzzy reasoning; fuzzy set theory; handwritten character recognition; knowledge based systems; FUBAR algorithm; flat rule bases; fuzzy based handwritten character recognition algorithm; fuzzy-based multistroke character recognizer; hierarchical rule bases; multistroke symbol support; single-stroke version; Accuracy; Algorithm design and analysis; Character recognition; Computational complexity; Engines; Fuzzy sets; Handwriting recognition;
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on
Conference_Location :
Krako??w
