Metaheuristic approach to optical character recognition of Old Slavic letters

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

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Official URL: http://dx.doi.org/10.1109/MECO.2014.6862713

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: http://eprints.ugd.edu.mk/id/eprint/12330

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