Character Recognition by Geometrical Moments on Structural Decompositions

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	Similar Articles Articles by P. Foggia Articles by C. Sansone Articles by F. Tortorella Articles by M. Vento

Fourth International Conference Document Analysis and Recognition (ICDAR'97)

Ulm, GERMANY

August 18-August 20

ISBN: 0-8186-7898-4

	ASCII Text	x
	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	x
	@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"

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619804

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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