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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
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E. Nel, J. A. Du Preez, B. M. Herbst, "Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models," Document Analysis and Recognition, International Conference on, pp. 41-47, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.106,
author = {E. Nel and J. A. Du Preez and B. M. Herbst},
title = {Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {41-47},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.106},
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 - Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models
SN - 1520-5263
SP41
EP47
A1 - E. Nel,
A1 - J. A. Du Preez,
A1 - B. M. Herbst,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
E. Nel, University of Stellenbosch, South Africa
J. A. Du Preez, University of Stellenbosch, South Africa
B. M. Herbst, University of Stellenbosch, South Africa
Static handwritten scripts are available only as images on documents and by definition do not contain dynamic information. This study is about extracting dynamic information from a static handwritten script, specifically the sequence of pen positions that created the script. We assume that a dynamic representative of the static image is available (a different version typically obtained during an earlier registration process). A Hidden Markov Model (HMM) of the static image is compared with the dynamic representative to extract the dynamic information from the static image.
Citation:
E. Nel, J. A. Du Preez, B. M. Herbst, "Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models," icdar, pp.41-47, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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