OcrV1, Main, Exploration, bibRecord, 000D11

Mathematical symbol recognition with support vector machines

Identifieur interne : 000D11 ( Main/Exploration ); précédent : 000D10; suivant : 000D12

Mathematical symbol recognition with support vector machines

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

Source :

Pattern recognition letters [ 0167-8655 ] ; 2008.

RBID : Pascal:08-0289256

Descripteurs français

Pascal (Inist)
- Détection de symboles, Machine vecteur support, Reconnaissance caractère, Modèle 2 dimensions, Apprentissage, Reconnaissance optique caractère, Evaluation performance, Méthode noyau, Classification signal, Reconnaissance forme.

English descriptors

KwdEn :
- Character recognition, Kernel method, Learning, Optical character recognition, Pattern recognition, Performance evaluation, Signal classification, Support vector machine, Symbol detection, Two dimensional model.

Abstract

Single-character recognition of mathematical symbols poses challenges from its two-dimensional pattern, the variety of similar symbols that must be recognized distinctly, the imbalance and paucity of training data available, and the impossibility of final verification through spell check. We investigate the use of support vector machines to improve the classification of InftyReader, a free system for the OCR of mathematical documents. First, we compare the performance of SVM kernels and feature definitions on pairs of letters that InftyReader usually confuses. Second, we describe a successful approach to multi-class classification with SVM, utilizing the ranking of alternatives within InftyReader's confusion clusters. The inclusion of our technique in InftyReader reduces its misrecognition rate by 41%.

Affiliations:

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

to stream PascalFrancis, to step Corpus: 000279
to stream PascalFrancis, to step Curation: 000505
to stream PascalFrancis, to step Checkpoint: 000233
to stream Main, to step Merge: 000D23
to stream Main, to step Curation: 000D11

Le document en format XML

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<term>Reconnaissance caractère</term>
<term>Modèle 2 dimensions</term>
<term>Apprentissage</term>
<term>Reconnaissance optique caractère</term>
<term>Evaluation performance</term>
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<term>Classification signal</term>
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<front><div type="abstract" xml:lang="en">Single-character recognition of mathematical symbols poses challenges from its two-dimensional pattern, the variety of similar symbols that must be recognized distinctly, the imbalance and paucity of training data available, and the impossibility of final verification through spell check. We investigate the use of support vector machines to improve the classification of InftyReader, a free system for the OCR of mathematical documents. First, we compare the performance of SVM kernels and feature definitions on pairs of letters that InftyReader usually confuses. Second, we describe a successful approach to multi-class classification with SVM, utilizing the ranking of alternatives within InftyReader's confusion clusters. The inclusion of our technique in InftyReader reduces its misrecognition rate by 41%.</div>
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Mathematical symbol recognition with support vector machines

Mathematical symbol recognition with support vector machines

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