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The paper proposes an algorithm for the script recognition based on thetexture characteristics. The image texture is achieved by coding each letterwith the equivalent script type (number code) according to its position in thetext line. Each code is transformed into equivalent gray level pixel creatingan 1-D image. Then, the image texture is subjected to the run-length analysis.This analysis extracts the run-length features, which are classified to make adistinction between the scripts under consideration. In the experiment, acustom oriented database is subject to the proposed algorithm. The databaseconsists of some text documents written in Cyrillic, Latin and Glagoliticscripts. Furthermore, it is divided into training and test parts. The resultsof the experiment show that 3 out of 5 run-length features can be used foreffective differentiation between the analyzed South Slavic scripts.

Analysis of the South Slavic Scripts by Run-Length Features of the Image Texture