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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1
A New Syntactic Approach to Graphic Symbol Recognition
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
ASCII Text
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Y. Yu, W. Zhang, W. Liu, "A New Syntactic Approach to Graphic Symbol Recognition," Document Analysis and Recognition, International Conference on, vol. 1, pp. 516-520, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007.
 
 
BibTex
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@article{ 10.1109/ICDAR.2007.26,
author = {Y. Yu and W. Zhang and W. Liu},
title = {A New Syntactic Approach to Graphic Symbol Recognition},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2007},
issn = {1520-5363},
pages = {516-520},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.26},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - A New Syntactic Approach to Graphic Symbol Recognition
SN - 1520-5363
SP516
EP520
A1 - Y. Yu,
A1 - W. Zhang,
A1 - W. Liu,
PY - 2007
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
Y. Yu, City University of Hong Kong,Hong Kong
W. Zhang, City University of Hong Kong,Hong Kong
W. Liu, City University of Hong Kong,Hong Kong
This paper presents a novel syntactic symbol recognition approach to the vector based symbol recognition problem. Different from existing syntactic approaches, which usually describe the geometric relations among primitives, our method formulates a new model to describe the geometric information of a primitive with respect to the whole symbol object based on mathematical analysis. The mathematical model is theoretically rotation and scale invariant and experiments show its accuracy for vector based symbol recognition.
Citation:
Y. Yu, W. Zhang, W. Liu, "A New Syntactic Approach to Graphic Symbol Recognition," icdar, vol. 1, pp.516-520, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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