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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2
Hybrid Mathematical Symbol Recognition Using Support Vector Machines
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
ASCII Text
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B. Keshari, S. Watt, "Hybrid Mathematical Symbol Recognition Using Support Vector Machines," Document Analysis and Recognition, International Conference on, vol. 2, pp. 859-863, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007.
 
 
BibTex
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@article{ 10.1109/ICDAR.2007.136,
author = {B. Keshari and S. Watt},
title = {Hybrid Mathematical Symbol Recognition Using Support Vector Machines},
journal ={Document Analysis and Recognition, International Conference on},
volume = {2},
year = {2007},
issn = {1520-5363},
pages = {859-863},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.136},
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 - Hybrid Mathematical Symbol Recognition Using Support Vector Machines
SN - 1520-5363
SP859
EP863
A1 - B. Keshari,
A1 - S. Watt,
PY - 2007
VL - 2
JA - Document Analysis and Recognition, International Conference on
ER -
 
B. Keshari, University of Western Ontario
S. Watt, University of Western Ontario
Recognition of mathematical symbols is a challenging task, with a large set with many similar symbols. We present a support vector machine based hybrid recognition system that uses both online and offline information for classifica- tion. Probabilistic outputs from the two support vector ma- chine based multi-class classifiers running in parallel are combined by taking a weighted sum. Results from the exper- iments show that giving slightly higher weight to the on-line information produces better results. The overall error rate of the hybrid system is lower than that of both the online and offline recognition systems when used in isolation.
Citation:
B. Keshari, S. Watt, "Hybrid Mathematical Symbol Recognition Using Support Vector Machines," icdar, vol. 2, pp.859-863, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
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