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Handwritten Hangul Character Recognition with Hierarchical Stochastic Character Representation
Edinburgh, Scotland August 03-August 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227661Seventh International Conference on D ...
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Kyung-Won Kang, Jin H. Kim, "Handwritten Hangul Character Recognition with Hierarchical Stochastic Character Representation," Document Analysis and Recognition, International Conference on, vol. 1, pp. 212, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003.
 
 
BibTex
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@article{ 10.1109/ICDAR.2003.1227661,
author = {Kyung-Won Kang and Jin H. Kim},
title = {Handwritten Hangul Character Recognition with Hierarchical Stochastic Character Representation},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2003},
isbn = {0-7695-1960-1},
pages = {212},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227661},
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 - Handwritten Hangul Character Recognition with Hierarchical Stochastic Character Representation
SN - 0-7695-1960-1
SP
EP
A1 - Kyung-Won Kang,
A1 - Jin H. Kim,
PY - 2003
KW - null
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
Jin H. Kim, KAIST
In structural character recognition, a character is usually viewed as a set of strokes and the spatial relationships between them. In this paper, we propose a stochastic modeling scheme by which strokes as well as relationships are represented by utilizing the hierarchical characteristics of target characters. Based on the proposed scheme, a handwritten Hangul (Korean) character recognition system is developed. The effectiveness of the proposed scheme is shown through experimental results conducted on a public database.
Citation:
Kyung-Won Kang, Jin H. Kim, "Handwritten Hangul Character Recognition with Hierarchical Stochastic Character Representation," icdar, vol. 1, pp.212, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003
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