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An Approach to the Analysis of the South Slavic Medieval Labels Using Image Texture
The paper presents a new script classification method for the discrimination
of the South Slavic medieval labels. It consists in the textural analysis of
the script types. In the first step, each letter is coded by the equivalent
script type, which is defined by its typographical features. Obtained coded
text is subjected to the run-length statistical analysis and to the adjacent
local binary pattern analysis in order to extract the features. The result
shows a diversity between the extracted features of the scripts, which makes
the feature classification more effective. It is the basis for the
classification process of the script identification by using an extension of a
state-of-the-art approach for document clustering. The proposed method is
evaluated on an example of hand-engraved in stone and hand-printed in paper
labels in old Cyrillic, angular and round Glagolitic. Experiments demonstrate
very positive results, which prove the effectiveness of the proposed method.Comment: 15 pages, 9 figures, 3rd Workshop on Recognition and Action for Scene
Understanding (REACTS 2015