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16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
Handwritten Character Recognition Based on Structural Characteristics
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
x 
 
E. Kavallieratou, N. Fakotakis, G. Kokkinakis, "Handwritten Character Recognition Based on Structural Characteristics," Pattern Recognition, International Conference on, vol. 3, pp. 30139, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2002.1047814,
author = {E. Kavallieratou and N. Fakotakis and G. Kokkinakis},
title = {Handwritten Character Recognition Based on Structural Characteristics},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2002},
issn = {1051-4651},
pages = {30139},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047814},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Handwritten Character Recognition Based on Structural Characteristics
SN - 1051-4651
SP
EP
A1 - E. Kavallieratou,
A1 - N. Fakotakis,
A1 - G. Kokkinakis,
PY - 2002
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
E. Kavallieratou, University of Patras
N. Fakotakis, University of Patras
G. Kokkinakis, University of Patras

In this paper a handwritten character 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 32 x 32 matrices of characters, as 280- dimension vectors.

The K-means algorithm is used for the classification of these vectors. Detailed experiments performed in NIST and GRUHD databases gave promising accuracy results that vary from 72.8% to 98.8% depending on the difficulty of the database and the character category.

Citation:
E. Kavallieratou, N. Fakotakis, G. Kokkinakis, "Handwritten Character Recognition Based on Structural Characteristics," icpr, vol. 3, pp.30139, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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