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Third International Conference on Document Analysis and Recognition (ICDAR'95) - Volume 2
On-line cursive Kanji character recognition as stroke correspondence problem
Montr?al, Canada
August 14-August 15
ISBN: 0-8186-7128-9
ASCII Text
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T. Wakahara, A. Suzuki, N. Nakajima, S. Miyahara, K. Odaka, "On-line cursive Kanji character recognition as stroke correspondence problem," Document Analysis and Recognition, International Conference on, vol. 2, pp. 1059, Third International Conference on Document Analysis and Recognition (ICDAR'95) - Volume 2, 1995.
 
 
BibTex
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@article{ 10.1109/ICDAR.1995.602091,
author = {T. Wakahara and A. Suzuki and N. Nakajima and S. Miyahara and K. Odaka},
title = {On-line cursive Kanji character recognition as stroke correspondence problem},
journal ={Document Analysis and Recognition, International Conference on},
volume = {2},
year = {1995},
isbn = {0-8186-7128-9},
pages = {1059},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1995.602091},
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 - On-line cursive Kanji character recognition as stroke correspondence problem
SN - 0-8186-7128-9
SP
EP
A1 - T. Wakahara,
A1 - A. Suzuki,
A1 - N. Nakajima,
A1 - S. Miyahara,
A1 - K. Odaka,
PY - 1995
KW - optical character recognition; image segmentation; online cursive Kanji character recognition; stroke correspondence problem; complementary algorithms; optimal stroke correspondence determination; deficient mapping; inter-stroke distances; stroke concatenation; single reference pattern; training data
VL - 2
JA - Document Analysis and Recognition, International Conference on
ER -
 
T. Wakahara, NTT Human Interface Labs., Kanagawa, Japan
A. Suzuki, NTT Human Interface Labs., Kanagawa, Japan
N. Nakajima, NTT Human Interface Labs., Kanagawa, Japan
S. Miyahara, NTT Human Interface Labs., Kanagawa, Japan
K. Odaka, NTT Human Interface Labs., Kanagawa, Japan
This paper describes a stroke-number and stroke-order free on-line Kanji character recognition method by a joint use of two complementary algorithms of optimal stroke correspondence determination: one dissolves excessive mapping and the other dissolves deficient mapping. Also, three kinds of inter-stroke distances are devised to deal with stroke concatenation or splitting and heavy shape distortion. Only a single reference pattern for each of 2,980 Kanji character categories is generated by using training data composed of 120 patterns written with the correct stroke-number and stroke-order. Recognition tests are made using the training data and two kinds of resting data in the square style and in the cursive style written by 36 different people; recognition rates of 99.5%, 97.6%, and 94.1% are obtained.
Index Terms:
optical character recognition; image segmentation; online cursive Kanji character recognition; stroke correspondence problem; complementary algorithms; optimal stroke correspondence determination; deficient mapping; inter-stroke distances; stroke concatenation; single reference pattern; training data
Citation:
T. Wakahara, A. Suzuki, N. Nakajima, S. Miyahara, K. Odaka, "On-line cursive Kanji character recognition as stroke correspondence problem," icdar, vol. 2, pp.1059, Third International Conference on Document Analysis and Recognition (ICDAR'95) - Volume 2, 1995
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