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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1
Generation of Synthetic Training Data for an HMM-based Handwriting Recognition System
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
ASCII Text
x 
 
Tam? Varga, Horst Bunke, "Generation of Synthetic Training Data for an HMM-based Handwriting Recognition System," Document Analysis and Recognition, International Conference on, vol. 1, pp. 618, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003.
 
 
BibTex
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@article{ 10.1109/ICDAR.2003.1227736,
author = {Tam? Varga and Horst Bunke},
title = {Generation of Synthetic Training Data for an HMM-based Handwriting Recognition System},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2003},
isbn = {0-7695-1960-1},
pages = {618},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227736},
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 - Generation of Synthetic Training Data for an HMM-based Handwriting Recognition System
SN - 0-7695-1960-1
SP
EP
A1 - Tam? Varga,
A1 - Horst Bunke,
PY - 2003
KW - null
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
Tam? Varga, Universit?t Bern
Horst Bunke, Universit?t Bern
A perturbation model for generating synthetic textlines from existing cursively handwritten lines of text produced by human writers is presented. Our purpose is to improve the performance of an HMM-based off-line cursive handwriting recognition system by providing it with additional synthetic training data. Two kinds of perturbations are applied, geometrical transformations and thinning/thickening operations. The proposed perturbation model is evaluated under different experimental conditions.
Citation:
Tam? Varga, Horst Bunke, "Generation of Synthetic Training Data for an HMM-based Handwriting Recognition System," icdar, vol. 1, pp.618, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003
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