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

Yannis A. Dimitriadis; Juan López Coronado; José Luis Contreras Vidal

doi:10.1007/BFb0035898

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

Yannis A. Dimitriadis, Juan López Coronado, José Luis Contreras Vidal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	Artificial Neural Networks - International Workshop IWANN 1991, Proceedings
Editors	Alberto Prieto
Publisher	Springer-Verlag
Pages	216-226
Number of pages	11
ISBN (Print)	9783540545378
DOIs	https://doi.org/10.1007/BFb0035898
State	Published - 1991
Event	International Workshop on Artificial Neural Networks, IWANN 1991 - Granada, Spain Duration: Sep 17 1991 → Sep 19 1991

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	540 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	International Workshop on Artificial Neural Networks, IWANN 1991
Country/Territory	Spain
City	Granada
Period	9/17/91 → 9/19/91

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/BFb0035898

Cite this

Dimitriadis, Y. A., Coronado, J. L., & Vidal, J. L. C. (1991). An adaptive resonance theory architecture for the automatic recognition of on-line handwritten symbols of a mathematical editor. In A. Prieto (Ed.), Artificial Neural Networks - International Workshop IWANN 1991, Proceedings (pp. 216-226). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 540 LNCS). Springer-Verlag. https://doi.org/10.1007/BFb0035898

An adaptive resonance theory architecture for the automatic recognition of on-line handwritten symbols of a mathematical editor. / Dimitriadis, Yannis A.; Coronado, Juan López; Vidal, José Luis Contreras.
Artificial Neural Networks - International Workshop IWANN 1991, Proceedings. ed. / Alberto Prieto. Springer-Verlag, 1991. p. 216-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 540 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dimitriadis, YA, Coronado, JL & Vidal, JLC 1991, An adaptive resonance theory architecture for the automatic recognition of on-line handwritten symbols of a mathematical editor. in A Prieto (ed.), Artificial Neural Networks - International Workshop IWANN 1991, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 540 LNCS, Springer-Verlag, pp. 216-226, International Workshop on Artificial Neural Networks, IWANN 1991, Granada, Spain, 9/17/91. https://doi.org/10.1007/BFb0035898

Dimitriadis YA, Coronado JL, Vidal JLC. An adaptive resonance theory architecture for the automatic recognition of on-line handwritten symbols of a mathematical editor. In Prieto A, editor, Artificial Neural Networks - International Workshop IWANN 1991, Proceedings. Springer-Verlag. 1991. p. 216-226. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/BFb0035898

Dimitriadis, Yannis A. ; Coronado, Juan López ; Vidal, José Luis Contreras. / An adaptive resonance theory architecture for the automatic recognition of on-line handwritten symbols of a mathematical editor. Artificial Neural Networks - International Workshop IWANN 1991, Proceedings. editor / Alberto Prieto. Springer-Verlag, 1991. pp. 216-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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

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