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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1
Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
ASCII Text
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D. Yang, L. Jin, Q. Huo, T. He, "Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition," Document Analysis and Recognition, International Conference on, vol. 1, pp. 38-42, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007.
 
 
BibTex
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@article{ 10.1109/ICDAR.2007.150,
author = {D. Yang and L. Jin and Q. Huo and T. He},
title = {Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2007},
issn = {1520-5363},
pages = {38-42},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.150},
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 - Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition
SN - 1520-5363
SP38
EP42
A1 - D. Yang,
A1 - L. Jin,
A1 - Q. Huo,
A1 - T. He,
PY - 2007
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
D. Yang, South China University of technology
L. Jin, South China University of technology
Q. Huo, South China University of technology
T. He, South China University of technology
The Modified Quadratic Discriminant Function has been used successfully in handwriting recognition, which can be seen as a dot-product method by eigen- decomposition of the covariance matrix. Therefore, it is possible to expand MQDF to high dimension space by kernel trick. This paper presents a new kernel- based method, Kernel Modified Quadratic Discriminant Function (KMQDF) for online Chinese Characters Recognition. Experimental results show that the performance of MQDF is improved by the kernel approach.
Citation:
D. Yang, L. Jin, Q. Huo, T. He, "Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition," icdar, vol. 1, pp.38-42, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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