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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Isolated Character Recognition by Searching Feature Points
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
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Masakazu IWAMURA, Kazuya NEGISHI, Shinichiro OMACHI, Hirotomo ASO, "Isolated Character Recognition by Searching Feature Points," Document Analysis and Recognition, International Conference on, pp. 1035-1039, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.147,
author = {Masakazu IWAMURA and Kazuya NEGISHI and Shinichiro OMACHI and Hirotomo ASO},
title = {Isolated Character Recognition by Searching Feature Points},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {1035-1039},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.147},
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 - Isolated Character Recognition by Searching Feature Points
SN - 1520-5263
SP1035
EP1039
A1 - Masakazu IWAMURA,
A1 - Kazuya NEGISHI,
A1 - Shinichiro OMACHI,
A1 - Hirotomo ASO,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Masakazu IWAMURA, Osaka Prefecture University, Japan
Kazuya NEGISHI, Tohoku University, Japan
Shinichiro OMACHI, Tohoku University, Japan
Hirotomo ASO, Tohoku University, Japan
Conventional segmentation technique cannot extract dif- ficult characters such as an isolated character and a touching character. In this paper, we propose a novel character recognition method which executes segmentation and recognition simultaneously. This method enables us to extract and recognize such difficult characters. The effectiveness of the proposed method is confirmed by experiments.
Citation:
Masakazu IWAMURA, Kazuya NEGISHI, Shinichiro OMACHI, Hirotomo ASO, "Isolated Character Recognition by Searching Feature Points," icdar, pp.1035-1039, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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