OcrV1, Main, Merge, bibRecord, 001168

Support vector machines for mathematical symbol recognition

Identifieur interne : 001168 ( Main/Merge ); précédent : 001167; suivant : 001169

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 : Pascal:07-0464299

Descripteurs français

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

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

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.

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

to stream PascalFrancis, to step Corpus: 000323
to stream PascalFrancis, to step Curation: 000463
to stream PascalFrancis, to step Checkpoint: 000307

Links to Exploration step

Pascal:07-0464299

Le document en format XML

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<author><name sortKey="Suzuki, Masakazu" sort="Suzuki, Masakazu" uniqKey="Suzuki M" first="Masakazu" last="Suzuki">Masakazu Suzuki (mathématicien)</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Engineering Division, Faculty of Mathematics, Kyushu University 6-10-1 Hakozaki</s1>
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<author><name sortKey="Suzuki, Masakazu" sort="Suzuki, Masakazu" uniqKey="Suzuki M" first="Masakazu" last="Suzuki">Masakazu Suzuki (mathématicien)</name>
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<s3>JPN</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
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<term>Optical character recognition</term>
<term>Pattern recognition</term>
<term>Probability learning</term>
<term>Statistical analysis</term>
<term>Structural analysis</term>
<term>Syntactic analysis</term>
<term>Vector support machine</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Analyse syntaxique</term>
<term>Analyse structurale</term>
<term>Apprentissage probabilités</term>
<term>Reconnaissance forme</term>
<term>Reconnaissance caractère</term>
<term>Reconnaissance optique caractère</term>
<term>Caractère manuscrit</term>
<term>Formule mathématique</term>
<term>Analyse statistique</term>
<term>Machine exemple support</term>
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<front><div type="abstract" xml:lang="en">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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   |wiki=    Ticri/CIDE
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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...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri