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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1
Handwritten Word Recognition based on Structural Characteristics and Lexical Support
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
ASCII Text
x 
 
E. Kavallieratou, K. Sgarbas, N. Fakotakis, G. Kokkinakis, "Handwritten Word Recognition based on Structural Characteristics and Lexical Support," Document Analysis and Recognition, International Conference on, vol. 1, pp. 562, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003.
 
 
BibTex
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@article{ 10.1109/ICDAR.2003.1227727,
author = {E. Kavallieratou and K. Sgarbas and N. Fakotakis and G. Kokkinakis},
title = {Handwritten Word Recognition based on Structural Characteristics and Lexical Support},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2003},
isbn = {0-7695-1960-1},
pages = {562},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227727},
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 - Handwritten Word Recognition based on Structural Characteristics and Lexical Support
SN - 0-7695-1960-1
SP
EP
A1 - E. Kavallieratou,
A1 - K. Sgarbas,
A1 - N. Fakotakis,
A1 - G. Kokkinakis,
PY - 2003
KW - null
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
E. Kavallieratou, University of Patras
K. Sgarbas, University of Patras
N. Fakotakis, University of Patras
G. Kokkinakis, University of Patras
In this paper a handwritten recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well-known horizontal and vertical histograms are used, in combination with the newly introduced radial histogram, out-in radial and in- out radial profiles for representing 32x32 matrices of characters, as 280-dimension vectors.
The recognition process has been supported by a lexical component based on dynamic acyclic FSAs (Finite-State-Automata).
Citation:
E. Kavallieratou, K. Sgarbas, N. Fakotakis, G. Kokkinakis, "Handwritten Word Recognition based on Structural Characteristics and Lexical Support," icdar, vol. 1, pp.562, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003
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