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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1
Detection and Segmentation of Touching Characters in Mathematical Expressions
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
ASCII Text
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Akihiro Nomura, Kazuyuki Michishita, Seiichi Uchida, Masakazu Suzuki, "Detection and Segmentation of Touching Characters in Mathematical Expressions," Document Analysis and Recognition, International Conference on, vol. 1, pp. 126, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003.
 
 
BibTex
x
 
@article{ 10.1109/ICDAR.2003.1227645,
author = {Akihiro Nomura and Kazuyuki Michishita and Seiichi Uchida and Masakazu Suzuki},
title = {Detection and Segmentation of Touching Characters in Mathematical Expressions},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2003},
isbn = {0-7695-1960-1},
pages = {126},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227645},
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 - Detection and Segmentation of Touching Characters in Mathematical Expressions
SN - 0-7695-1960-1
SP
EP
A1 - Akihiro Nomura,
A1 - Kazuyuki Michishita,
A1 - Seiichi Uchida,
A1 - Masakazu Suzuki,
PY - 2003
KW - null
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
Akihiro Nomura, Kyushu University
Kazuyuki Michishita, Kyushu University
Seiichi Uchida, Kyushu University
Masakazu Suzuki, Kyushu University
A technique for the detection and the segmentation of touching characters in mathematical expressions is presented. In the detection stage, a connected component initially recognized into some category is judged as a candidate of touched characters if its feature values deviate from the standard feature values of the category. In the segmentation stage, two component characters of the candidate are decided by the comparison with touching character images synthesized from two single character images. Experimental results showed the effectiveness on the accuracy improvement of the recognition of mathematical expressions.
Citation:
Akihiro Nomura, Kazuyuki Michishita, Seiichi Uchida, Masakazu Suzuki, "Detection and Segmentation of Touching Characters in Mathematical Expressions," icdar, vol. 1, pp.126, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003
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