Title :
Character recognition by geometrical moments on structural decompositions
Author :
Foggia, P. ; Sansone, C. ; Tortorella, F. ; Vento, M.
Author_Institution :
Dipt. di Inf. e Sistemistica, Univ. degli Studi di Napoli Federico II, Italy
Abstract :
A novel 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
Keywords :
computational geometry; handwriting recognition; multilayer perceptrons; pattern classification; statistical analysis; ETL Database; circular arcs; classification stage; description method; geometrical moments; multilayer perceptron; statistical approach; statistical features; structural decompositions; structural primitives; unconstrained isolated handwritten character recognition; Algorithm design and analysis; Character recognition; Data mining; Data structures; Decision theory; Extraterrestrial measurements; Multilayer perceptrons; Pattern recognition; Performance evaluation; Spatial databases;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.619804
