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Character Recognition by Geometrical Moments on Structural Decompositions
Ulm, GERMANY August 18-August 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619804Fourth International Conference Docum ...
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P. Foggia, C. Sansone, F. Tortorella, M. Vento, "Character Recognition by Geometrical Moments on Structural Decompositions," Document Analysis and Recognition, International Conference on, pp. 6, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.
 
 
BibTex
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@article{ 10.1109/ICDAR.1997.619804,
author = {P. Foggia and C. Sansone and F. Tortorella and M. Vento},
title = {Character Recognition by Geometrical Moments on Structural Decompositions},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {1997},
isbn = {0-8186-7898-4},
pages = {6},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619804},
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 - Character Recognition by Geometrical Moments on Structural Decompositions
SN - 0-8186-7898-4
SP
EP
A1 - P. Foggia,
A1 - C. Sansone,
A1 - F. Tortorella,
A1 - M. Vento,
PY - 1997
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
P. Foggia, Dipartimento di Informatica e Sistemistica, Universita' degli Studi di Napoli "Federico II"
C. Sansone, Dipartimento di Informatica e Sistemistica, Universita' degli Studi di Napoli "Federico II"
F. Tortorella, Dipartimento di Informatica e Sistemistica, Universita' degli Studi di Napoli "Federico II"
M. Vento, Dipartimento di Informatica e Sistemistica, Universita' degli Studi di Napoli "Federico II"
In this paper a new description method is presented. It is based on the combination of structural and statistical approaches, and is applied to the problem of unconstrained isolated handwritten character recognition. Characters are preliminarily decomposed in terms of structural primitives (circular arcs) and successively described in terms of statistical features (geometrical moments suitably normalized). A Multilayer Perceptron is adopted in the classification stage. Results of the method on the digits of the ETL Database are reported.
Citation:
P. Foggia, C. Sansone, F. Tortorella, M. Vento, "Character Recognition by Geometrical Moments on Structural Decompositions," icdar, pp.6, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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