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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1
Synthesis of Chinese Character Using Affine Transformation
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
ASCII Text
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L. Jin, X. Zu, "Synthesis of Chinese Character Using Affine Transformation," Document Analysis and Recognition, International Conference on, vol. 1, pp. 218-222, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007.
 
 
BibTex
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@article{ 10.1109/ICDAR.2007.239,
author = {L. Jin and X. Zu},
title = {Synthesis of Chinese Character Using Affine Transformation},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2007},
issn = {1520-5363},
pages = {218-222},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.239},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Synthesis of Chinese Character Using Affine Transformation
SN - 1520-5363
SP218
EP222
A1 - L. Jin,
A1 - X. Zu,
PY - 2007
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
L. Jin, South China University of Technology, Guangzhou, 510640, China
X. Zu, South China University of Technology, Guangzhou, 510640, China
We present a novel Chinese synthesis method based on affine transform. A set of basic Chinese character element (BCCE) are designed, which can be used to generate any Chinese character in standard GB2312-80 level 1. Structure similarity measurement is used to evaluate the synthesis quality. Experiments showed that the synthesized characters look smooth and natural. Storage of synthesized characters can be greatly reduced. The proposed Chinese character synthesis method has many potential applications, such as building small-size Chinese font, building compact classifier for Chinese OCR, and etc.
Citation:
L. Jin, X. Zu, "Synthesis of Chinese Character Using Affine Transformation," icdar, vol. 1, pp.218-222, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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