OcrV1, Main, Exploration, bibRecord, 001005

Support Vector Machines for Mathematical Symbol Recognition

Identifieur interne : 001005 ( Main/Exploration ); précédent : 001004; suivant : 001006

Support Vector Machines for Mathematical Symbol Recognition

Auteurs : Christopher Malon [Japon] ; Seiichi Uchida [Japon] ; Masakazu Suzuki (mathématicien) [Japon]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.

RBID : ISTEX:74C71BABB60C741436EAD850ECD521F6CB60808C

Descripteurs français

Pascal (Inist)
- Analyse statistique, Analyse structurale, Analyse syntaxique, Apprentissage probabilités, Caractère manuscrit, Formule mathématique, Machine exemple support, Reconnaissance caractère, Reconnaissance forme, Reconnaissance optique caractère.

English descriptors

KwdEn :
- Character recognition, Manuscript character, Mathematical formula, Optical character recognition, Pattern recognition, Probability learning, Statistical analysis, Structural analysis, Syntactic analysis, Vector support machine.

Abstract

Abstract: Mathematical formulas challenge an OCR system with a range of similar-looking characters whose bold, calligraphic, and italic varieties must be recognized distinctly, though the fonts to be used in an article are not known in advance. We describe the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols.

Url:

https://api.istex.fr/document/74C71BABB60C741436EAD850ECD521F6CB60808C/fulltext/pdf

DOI: 10.1007/11815921_14

Affiliations:

Le document en format XML

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<front><div type="abstract" xml:lang="en">Abstract: Mathematical formulas challenge an OCR system with a range of similar-looking characters whose bold, calligraphic, and italic varieties must be recognized distinctly, though the fonts to be used in an article are not known in advance. We describe the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols.</div>
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Serveur d'exploration sur l'OCR

Support Vector Machines for Mathematical Symbol Recognition

Support Vector Machines for Mathematical Symbol Recognition

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

	Serveur d'exploration sur l'OCR
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.