Fuzzy Classifier for Church Cyrillic Handwritten Characters

Martinovska, Cveta and Nedelkovski, Igor and Klekovska, Mimoza and Kaevski, Dragan (2012) Fuzzy Classifier for Church Cyrillic Handwritten Characters. In: Proceedings of 14th International Conference on Enterprise Information Systems. SciTePress 2012– Science and Technology Publications, Portugal, pp. 310-313. ISBN 978-989-8565-10-5

Full text not available from this repository.
Official URL: http://www.iceis.org/Abstracts/2012/ICEIS_2012_Abs...

Abstract

This paper presents a fuzzy methodology for classification of Old Slavic Cyrillic handwritten characters. The main idea is that the most discriminative features are extracted from the outer character segments defined by intersections. Prototype classes are formed using fuzzy aggregation techniques applied over the fuzzy rules that constitute the descriptions of the characters. Recognition methods use features like number and position of spots in outer segments, compactness, symmetry, beams and columns to assign a pattern to a prototype class. The accuracy and precision of the fuzzy classifier are evaluated experimentally. This fuzzy recognition system is applicable to a large collection of Old Church Slavic Cyrillic manuscripts.

Item Type: Book Section
Subjects: Natural sciences > Computer and information sciences
Divisions: Faculty of Computer Science
Depositing User: Cveta Martinovska Bande
Date Deposited: 03 Sep 2013 14:26
Last Modified: 03 Sep 2013 14:26
URI: http://eprints.ugd.edu.mk/id/eprint/535

Actions (login required)

View Item View Item