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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1
Finger-Written Chinese Characters Recognition Using Hierarchical LDA
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
ASCII Text
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D. Yang, L. Jin, L.-X. Zhen, J.-C. Huang, "Finger-Written Chinese Characters Recognition Using Hierarchical LDA," Document Analysis and Recognition, International Conference on, vol. 1, pp. 322-326, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007.
 
 
BibTex
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@article{ 10.1109/ICDAR.2007.120,
author = {D. Yang and L. Jin and L.-X. Zhen and J.-C. Huang},
title = {Finger-Written Chinese Characters Recognition Using Hierarchical LDA},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2007},
issn = {1520-5363},
pages = {322-326},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.120},
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 - Finger-Written Chinese Characters Recognition Using Hierarchical LDA
SN - 1520-5363
SP322
EP326
A1 - D. Yang,
A1 - L. Jin,
A1 - L.-X. Zhen,
A1 - J.-C. Huang,
PY - 2007
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
D. Yang, School of Electronics and InformationSouth China University of technology
L. Jin, School of Electronics and InformationSouth China University of technology
L.-X. Zhen, Motorola China Research Center, Shanghai, 210000, P.R.China
J.-C. Huang, Motorola China Research Center, Shanghai, 210000, P.R.China
In our camera based user interface, user inputs Chinese characters by moving fingertip with his/her fingers. Therefore, we call those characters "finger? written Chinese characters" (FWCCs). To recognize FWCCS with high recognition accuracy, we propose a new method to discriminate similar FWCCs based on a two stages Linear Discriminant Analysis (LDA) architecture. Experimental results show the proposed method is useful for the improvements of recognition rate and outperforms our previous hybrid recognition method. Comparing with MQDF-based method, the proposed method can reach similar classification performance but with much less storage requirement.
Citation:
D. Yang, L. Jin, L.-X. Zhen, J.-C. Huang, "Finger-Written Chinese Characters Recognition Using Hierarchical LDA," icdar, vol. 1, pp.322-326, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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