loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 1
Dynamic Stroke Information Analysis for Video-Based Handwritten Chinese Character Recognition
Nice, France
October 13-October 16
ISBN: 0-7695-1950-4
ASCII Text
x 
 
Feng Lin, Xiaoou Tang, "Dynamic Stroke Information Analysis for Video-Based Handwritten Chinese Character Recognition," Computer Vision, IEEE International Conference on, vol. 1, pp. 695, Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 1, 2003.
 
 
BibTex
x
 
@article{ 10.1109/ICCV.2003.1238415,
author = {Feng Lin and Xiaoou Tang},
title = {Dynamic Stroke Information Analysis for Video-Based Handwritten Chinese Character Recognition},
journal ={Computer Vision, IEEE International Conference on},
volume = {1},
year = {2003},
isbn = {0-7695-1950-4},
pages = {695},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238415},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision, IEEE International Conference on
TI - Dynamic Stroke Information Analysis for Video-Based Handwritten Chinese Character Recognition
SN - 0-7695-1950-4
SP
EP
A1 - Feng Lin,
A1 - Xiaoou Tang,
PY - 2003
KW - null
VL - 1
JA - Computer Vision, IEEE International Conference on
ER -
 
Feng Lin, The Chinese University of Hong Kong
Xiaoou Tang, The Chinese University of Hong Kong
Video-based handwritten Character Recognition (VCR) system is a new type of character recognition system with many unique advantages over on-line character recognition system. Its main problem is to effectively extract stroke dynamic information from video data for character recognition. In this paper, we propose a new stroke extraction algorithm through dynamic stroke information analysis for a VCR system. The experimental results on over 3000 video character sequences show that our system can extract the Chinese character stroke dynamic information similar to an on-line system.
Citation:
Feng Lin, Xiaoou Tang, "Dynamic Stroke Information Analysis for Video-Based Handwritten Chinese Character Recognition," iccv, vol. 1, pp.695, Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 1, 2003
Usage of this product signifies your acceptance of the Terms of Use.