Paper
15 December 2003 Comprehensive printed Tibetan/English mixed text segmentation method
Author Affiliations +
Proceedings Volume 5296, Document Recognition and Retrieval XI; (2003) https://doi.org/10.1117/12.528949
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hua Wang and Xiaoqing Ding "Comprehensive printed Tibetan/English mixed text segmentation method", Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); https://doi.org/10.1117/12.528949
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Optical character recognition

Detection and tracking algorithms

Error analysis

Image processing

Pattern recognition

Data modeling

RELATED CONTENT


Back to Top