An adaptive resonance theory architecture for the automatic recognition of on-line handwritten symbols of a mathematical editor

Yannis A. Dimitriadis, Juan López Coronado, Jose L. Contreras Vidal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An architecture based on neural modules of the Adaptive Resonance Theory (ART) is proposed, for recognizing handwritten symbols employed in an on-line mathematical editor. The dynamic information generated during the handwriting process is used by the system, thus defining a run-on time discrete symbol as a sequence of strokes. An ART2 module is used to classify each individual stroke, while a Recurrent Competitive Field (RCF) is employed in order to classify the sequence of the strokes. ARTMAP modules are also proposed for the association of the different versions of strokes and symbols. Preliminary results of the application are very encouraging.

Original languageEnglish (US)
Title of host publicationArtificial Neural Networks - International Workshop IWANN 1991, Proceedings
EditorsAlberto Prieto
PublisherSpringer-Verlag
Pages216-226
Number of pages11
ISBN (Print)9783540545378
DOIs
StatePublished - Jan 1 1991
EventInternational Workshop on Artificial Neural Networks, IWANN 1991 - Granada, Spain
Duration: Sep 17 1991Sep 19 1991

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume540 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Workshop on Artificial Neural Networks, IWANN 1991
CountrySpain
CityGranada
Period9/17/919/19/91

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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