Fuzzy Classifier for Church Cyrillic Handwritten Characters

Cveta Martinovska, Igor Nedelkovski, Mimoza Klekovska, Dragan Kaevski

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.

References

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Paper Citation


in Harvard Style

Martinovska C., Nedelkovski I., Klekovska M. and Kaevski D. (2012). Fuzzy Classifier for Church Cyrillic Handwritten Characters . In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-10-5, pages 310-313. DOI: 10.5220/0003968403100313


in Bibtex Style

@conference{iceis12,
author={Cveta Martinovska and Igor Nedelkovski and Mimoza Klekovska and Dragan Kaevski},
title={Fuzzy Classifier for Church Cyrillic Handwritten Characters},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2012},
pages={310-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003968403100313},
isbn={978-989-8565-10-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Fuzzy Classifier for Church Cyrillic Handwritten Characters
SN - 978-989-8565-10-5
AU - Martinovska C.
AU - Nedelkovski I.
AU - Klekovska M.
AU - Kaevski D.
PY - 2012
SP - 310
EP - 313
DO - 10.5220/0003968403100313