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Fourth International Conference Document Analysis and Recognition (ICDAR'97)
Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
ASCII Text
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Ke Liu, Yea S. Huang, Ching Y. Suen, "Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition," Document Analysis and Recognition, International Conference on, pp. 211, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.
 
 
BibTex
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@article{ 10.1109/ICDAR.1997.619843,
author = {Ke Liu and Yea S. Huang and Ching Y. Suen},
title = {Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {1997},
isbn = {0-8186-7898-4},
pages = {211},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619843},
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 - Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition
SN - 0-8186-7898-4
SP
EP
A1 - Ke Liu,
A1 - Yea S. Huang,
A1 - Ching Y. Suen,
PY - 1997
KW - Thinning
KW - skeleton
KW - segmentation
KW - stroke extraction
KW - character recognition
KW - handwritten Chinese character.
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Ke Liu, Concordia University
Yea S. Huang, Concordia University
Ching Y. Suen, Concordia University
This paper presents a robust thinning-based method for the segmentation of strokes from handwritten Chinese characters. A new set of feature points is proposed for the analysis of skeleton images. A geometrical graph based approach is developed for the analysis of strokes. A novel criterion is proposed for the identification of the fork points in a skeleton image which correspond to the same joint points in the original character image. The experimental results show that the proposed method is effective.
Index Terms:
Thinning, skeleton, segmentation, stroke extraction, character recognition, handwritten Chinese character.
Citation:
Ke Liu, Yea S. Huang, Ching Y. Suen, "Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition," icdar, pp.211, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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