Martinovska, Cveta and Klekovska, Mimoza and Nedelkovski, Igor and Kaevski, Dragan (2013) Methodologies for recognition of old Slavic Cyrillic characters. International Journal of Computational Intelligence Studies, 2 (3/4). pp. 264-287.
Full text not available from this repository.Abstract
This paper describes two novel methodologies for recognition of Old Slavic Cyrillic characters. The first recognition method is based on a decision tree classifier and the second one uses a fuzzy classifier. Both methods use the same set of features extracted from the character bitmaps. The prototypes are obtained by applying the logical operators on the samples of digitalized characters from original manuscripts. According to the experimental results relevant features for defining a particular character are number and position of spots in the outer segments, presence and position of horizontal and vertical lines and holes, compactness and symmetry. The fuzzy classifier creates a prototype which consists of fuzzy rules by means of fuzzy aggregation of character features. The classifier based on a decision tree is realized by a set of rules. We have implemented the proposed classifiers and have experimentally tested their efficiency calculating their recognition accuracy and precision.
| Item Type: | Article |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Cveta Martinovska Bande |
| Date Deposited: | 15 Jan 2014 13:55 |
| Last Modified: | 15 Jan 2014 13:55 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/8132 |
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