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Proceedings Paper

Comprehensive printed Tibetan/English mixed text segmentation method
Author(s): Hua Wang; Xiaoqing Ding
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Paper Abstract

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.

Paper Details

Date Published: 15 December 2003
PDF: 11 pages
Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); doi: 10.1117/12.528949
Show Author Affiliations
Hua Wang, Tsinghua Univ. (China)
Xiaoqing Ding, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 5296:
Document Recognition and Retrieval XI
Elisa H. Barney Smith; Jianying Hu; James Allan, Editor(s)

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