Script characterization in the old slavic documents

Abstract

The paper addressed the problem of the script characterization in the old Slavic printed documents. Therefore, an algorithm for the script discrimination was proposed. It was based on the typographical feature classification, which creates ciphers from different scripts of the document. Then, the feature extraction was achieved by statistical analysis. The obtained features were set and stored for further analysis in order to identify the discrimination criteria between different scripts. The proposed method is tested on the example of the Slavic printed documents which contains Glagolitic and Cyrillic script. © 2014 Springer International Publishing.