Computer Science ›› 2013, Vol. 40 ›› Issue (1): 273-276.
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Abstract: Script identification has important applications in the field of document image information retrieval. An east asiatic script identification approach was proposed based on multi feature. Compared to traditional identification method based on statistical characteristics and symbols matching, the algorithm first analyzes and extracts the token shape matching features,layoutfeatures and character complexity features,and then uses closeness degree of fuzzy sets to i- dentify. The experimental results show that the algorithm has higher recognition accuracy and strong robustness to dif- ferent fonts.
Key words: Script identification, Multi feature, Character complexity features, Closeness degree
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