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Fourth International Conference Document Analysis and Recognition (ICDAR'97)
On-line Recognition of Renqun's Handwritten Shorthand
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
ASCII Text
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Chen Xiaoping, Qiao Yizheng, "On-line Recognition of Renqun's Handwritten Shorthand," Document Analysis and Recognition, International Conference on, pp. 941, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.
 
 
BibTex
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@article{ 10.1109/ICDAR.1997.620649,
author = {Chen Xiaoping and Qiao Yizheng},
title = {On-line Recognition of Renqun's Handwritten Shorthand},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {1997},
isbn = {0-8186-7898-4},
pages = {941},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.620649},
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 Recognition of Renqun's Handwritten Shorthand
SN - 0-8186-7898-4
SP
EP
A1 - Chen Xiaoping,
A1 - Qiao Yizheng,
PY - 1997
KW - Renqun shorthand Preprocessing Segmentation Coarse classification On-line transcription
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Chen Xiaoping, Department of Automation, Shandong University of Technology
Qiao Yizheng, Department of Automation, Shandong University of Technology
A computer-based transcription system of Chinese Renqun shorthand is introduced in this paper. Shorthands are inputted from a writing tablet, after preprocessing, segmentation, feature extraction and coarse classification, artificial intelligence (AI) and dynamic programming (DP) methods are used to recognize the shorthands. Test results show that the development of a computer transcription system of Renqun shorthand is feasible and encouraging.
Index Terms:
Renqun shorthand Preprocessing Segmentation Coarse classification On-line transcription
Citation:
Chen Xiaoping, Qiao Yizheng, "On-line Recognition of Renqun's Handwritten Shorthand," icdar, pp.941, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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