Comparison of models for recognition of Old Slavic Characters

Klekovska, Mimoza and Martinovska, Cveta and Nedelkovski, Igor and Kaevski, Dragan (2013) Comparison of models for recognition of Old Slavic Characters. In: ICT Innovations 2012. AISC, 207 . Springer-Verlag, Berlin Heidelberg, pp. 129-139. ISBN 978-3-642-37168-4

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This paper compares two methods for classification of Old Slavic letters. Traditional letter recognition programs cannot be applied on the Old Slavic Cyrillic manuscripts because these letters have unique characteristics. The first classification method is based on a decision tree and the second one uses fuzzy techniques. Both methods use the same set of features extracted from the letter bitmaps. Results from the conducted research reveal that discriminative features for recognition of Church Slavic Letters are number and position of spots in the outer segments, presence and position of vertical and horizontal lines, compactness and symmetry. The efficiency of the implemented classifiers is tested experimentally.

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 14:16
Last Modified: 03 Sep 2013 14:16

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