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Second International Conference on Document Image Analysis for Libraries (DIAL'06)
Multilingual document recognition research and its application in China
Lyon, France
April 27-April 28
ISBN: 0-7695-2531-8
ASCII Text
x 
 
Liangrui Peng, Changsong Liu, Xiaoqing Ding, Hua Wang, "Multilingual document recognition research and its application in China," Document Image Analysis for Libraries, International Workshop on, pp. 126-132, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006.
 
 
BibTex
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@article{ 10.1109/DIAL.2006.27,
author = {Liangrui Peng and Changsong Liu and Xiaoqing Ding and Hua Wang},
title = {Multilingual document recognition research and its application in China},
journal ={Document Image Analysis for Libraries, International Workshop on},
volume = {0},
year = {2006},
isbn = {0-7695-2531-8},
pages = {126-132},
doi = {http://doi.ieeecomputersociety.org/10.1109/DIAL.2006.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Image Analysis for Libraries, International Workshop on
TI - Multilingual document recognition research and its application in China
SN - 0-7695-2531-8
SP126
EP132
A1 - Liangrui Peng,
A1 - Changsong Liu,
A1 - Xiaoqing Ding,
A1 - Hua Wang,
PY - 2006
KW - null
VL - 0
JA - Document Image Analysis for Libraries, International Workshop on
ER -
 
Liangrui Peng, Tsinghua University, China
Changsong Liu, Tsinghua University, China
Xiaoqing Ding, Tsinghua University, China
Hua Wang, Tsinghua University, China
This paper demonstrates the research work on multilingual document recognition technology and its application in China, which is useful for building multilingual digital library. The multilingual OCR (Optical character recognition) key technologies and general system framework are summarized based on the previous research work for Chinese, Japanese, Korean, English, and recent research advancement for Tibetan, Uighur, Kazakh, Kirghiz, Arabic, Mongolian. The key technologies include statistical character recognition, structural analysis for similar character discrimination, character segmentation, script identification, post-processing. Application of multilingual document recognition system in digital library and website content construction will benefit people using various languages to retrieve knowledge.
Citation:
Liangrui Peng, Changsong Liu, Xiaoqing Ding, Hua Wang, "Multilingual document recognition research and its application in China," dial, pp.126-132, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006
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