Characterization of the script using adjacent local binary patterns

The paper proposed an algorithm for the identification of the script by adjacent local binary patterns (ALBP). In the first phase, each letter in the text is modeled with the so-called script type, which is based on its status in the baseline area. Then, the feature extraction is made with the adjacent local binary pattern (ALBP). According to ALBP, the distinctive features of the script are set and stored for further analysis. Because of the difference in script characteristics, the analysis shows significant diversity between different scripts. Hence, it represents the key point for decision-making process of script identification. The proposed method is tested on the example of old Slavic printed documents, which contain Latin and Glagolitic script. The results of experiments are encouraging.