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First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06)
Script Identification of Document Image Analysis
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
x 
 
Juan Cheng, Xijian Ping, Guanwei Zhou, Yang Yang, "Script Identification of Document Image Analysis," Innovative Computing ,Information and Control, International Conference on, vol. 3, pp. 178-181, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICICIC.2006.518,
author = {Juan Cheng and Xijian Ping and Guanwei Zhou and Yang Yang},
title = {Script Identification of Document Image Analysis},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {3},
year = {2006},
isbn = {0-7695-2616-0},
pages = {178-181},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.518},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Script Identification of Document Image Analysis
SN - 0-7695-2616-0
SP178
EP181
A1 - Juan Cheng,
A1 - Xijian Ping,
A1 - Guanwei Zhou,
A1 - Yang Yang,
PY - 2006
KW - null
VL - 3
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Juan Cheng, Zhengzhou Information Science and Technology Institute, China
Xijian Ping, Zhengzhou Information Science and Technology Institute, China
Guanwei Zhou, Zhengzhou Information Science and Technology Institute, China
Yang Yang, Zhengzhou Information Science and Technology Institute, China
Script identification prior to OCR is necessary in document image analysis. And each script has unique spatial distribution and visual attribute that make it possible to identify itself from other languages. The key technology of script identification algorithm is to abstract effective measure feature. By analyzing vision differences based on normalized histogram statistic, Chinese, Japanese, English and Russian are identified respectively from others. Therefore, automatic identification of four scripts is realized successfully.
Citation:
Juan Cheng, Xijian Ping, Guanwei Zhou, Yang Yang, "Script Identification of Document Image Analysis," icicic, vol. 3, pp.178-181, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006
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