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Comprehensive printed Tibetan/English mixed text segmentation method

Text segmentation plays a crucial role in a text recognition system. A comprehensive method is proposed to solve Tibetan/English text segmentation. 2 algorithms based on Tibetan inter-syllabic tshegs and discirminant function, respectively, are presented to perform skew detection before text line separation. Then a dynamic recursive character segmentation algorithm integrating multi-level information is developed. The encouraging experimental results on a large-scale Tibetan/English mixed text set show the validity of proposed method.