loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2
Skew Detection for Chinese Handwriting by Horizontal Stroke Histogram
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
ASCII Text
x 
 
T.-H. Su, T.-W. Zhang, H.-J. Huang, Y. Zhou, "Skew Detection for Chinese Handwriting by Horizontal Stroke Histogram," Document Analysis and Recognition, International Conference on, vol. 2, pp. 899-903, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007.
 
 
BibTex
x
 
@article{ 10.1109/ICDAR.2007.233,
author = {T.-H. Su and T.-W. Zhang and H.-J. Huang and Y. Zhou},
title = {Skew Detection for Chinese Handwriting by Horizontal Stroke Histogram},
journal ={Document Analysis and Recognition, International Conference on},
volume = {2},
year = {2007},
issn = {1520-5363},
pages = {899-903},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.233},
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 - Skew Detection for Chinese Handwriting by Horizontal Stroke Histogram
SN - 1520-5363
SP899
EP903
A1 - T.-H. Su,
A1 - T.-W. Zhang,
A1 - H.-J. Huang,
A1 - Y. Zhou,
PY - 2007
VL - 2
JA - Document Analysis and Recognition, International Conference on
ER -
 
T.-H. Su, Harbin Institute of Technology, Harbin, P. R. CHINA
T.-W. Zhang, Harbin Institute of Technology, Harbin, P. R. CHINA
H.-J. Huang, Harbin Institute of Technology, Harbin, P. R. CHINA
Y. Zhou, Harbin Institute of Technology, Harbin, P. R. CHINA
This paper proposes a skew detection method for real Chinese handwritten documents. After analyzing the characteristics of Chinese characters, it utilizes the horizontal stroke histogram. Its accuracy, ability to increase the recall rate of text line separation, and CPU time consuming are investigated using 853 real Chinese handwritten documents. The results show that: 1) The method can identify 98.83% of the skew angles within one degree, with an improvement of 8.44% than Wigner-Ville Distribution (WVD) method; 2) When incorporated into text line separation, the recall rate has an improvement of 2.54% than WVD method; 3) The method only consumes one-twentieth of WVD method on the same test environment.
Citation:
T.-H. Su, T.-W. Zhang, H.-J. Huang, Y. Zhou, "Skew Detection for Chinese Handwriting by Horizontal Stroke Histogram," icdar, vol. 2, pp.899-903, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
Usage of this product signifies your acceptance of the Terms of Use.