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Recognizing on-line handwritten Chinese character via FARG matching
Ulm, GERMANY August 18-August 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.620578Fourth International Conference Docum ...
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Jing Zheng, Xiaoqing Ding, Youshou Wu, "Recognizing on-line handwritten Chinese character via FARG matching," Document Analysis and Recognition, International Conference on, pp. 621, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.
 
 
BibTex
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@article{ 10.1109/ICDAR.1997.620578,
author = {Jing Zheng and Xiaoqing Ding and Youshou Wu},
title = {Recognizing on-line handwritten Chinese character via FARG matching},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {1997},
isbn = {0-8186-7898-4},
pages = {621},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.620578},
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 - Recognizing on-line handwritten Chinese character via FARG matching
SN - 0-8186-7898-4
SP
EP
A1 - Jing Zheng,
A1 - Xiaoqing Ding,
A1 - Youshou Wu,
PY - 1997
KW - handwriting recognition; online handwritten Chinese character recognition; FARG matching; fuzzy attributed relational graph; relaxation algorithm; input pattern matching; decision makin; similarity measure; statistical technique; stroke connection; stroke order variation; stroke shape deformation; database; recognition system; recognition rate
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Jing Zheng, Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Xiaoqing Ding, Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Youshou Wu, Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
The paper presents a novel method for online handwritten Chinese character recognition. In our method, each category of character is described by a fuzzy attributed relational graph (FARG). A relaxation algorithm is developed to match the input pattern with every FARG. For decision making, a similarity measure is established via statistical technique to calculate the matching degree between the input pattern and referenced FARG, according to which the recognition result is determined. The principle of our method makes it very robust against stroke connection and stroke order variation as well as stroke shape deformation. A database of 22530 samples collected from 6 subjects is used to test our recognition system which can recognize 3755 categories of Chinese characters. The result shows that our method is very effective: a top 1 recognition rate of 98.8% and a top 10 of 99.7% are reached.
Index Terms:
handwriting recognition; online handwritten Chinese character recognition; FARG matching; fuzzy attributed relational graph; relaxation algorithm; input pattern matching; decision makin; similarity measure; statistical technique; stroke connection; stroke order variation; stroke shape deformation; database; recognition system; recognition rate
Citation:
Jing Zheng, Xiaoqing Ding, Youshou Wu, "Recognizing on-line handwritten Chinese character via FARG matching," icdar, pp.621, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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