Panov, Stojanche and Koceski, Saso (2014) Metaheuristic approach to optical character recognition of Old Slavic letters. Embedded Computing (MECO), 2014 3rd Mediterranean Conference on . pp. 268-271. ISSN 978-1-4799-4827-7
Full text not available from this repository.Abstract
This paper introduces a metaheuristic approach to the problem of OCR of Old Slavic letters. This approach consists of several sequential stages: filtering, binarization, skeletonization, feature extraction and decision tree classification. The image preprocessing steps proved to provide improvements to the correctness of the letter classification, since the quality of the filtered image influences the feature extraction phase, which is based on the unique characteristics of the Old Slavic letters. Various verifications of this approach were performed and the correctness of this approach has been proven.
| Item Type: | Article |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences Engineering and Technology > Electrical engineering, electronic engineering, information engineering |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Saso Koceski |
| Date Deposited: | 04 Feb 2015 11:24 |
| Last Modified: | 04 Feb 2015 11:24 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/12330 |
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