OcrV1, Main, Exploration, bibRecord, 001190

A bottom-up OCR system for mathematical formulas recognition

Identifieur interne : 001190 ( Main/Exploration ); précédent : 001189; suivant : 001191

A bottom-up OCR system for mathematical formulas recognition

Auteurs : WEI WU [République populaire de Chine] ; FENG LI [République populaire de Chine] ; JUN KONG [République populaire de Chine] ; LICHANG HOU [République populaire de Chine] ; BINGDUI ZHU [République populaire de Chine]

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2006.

RBID : Pascal:07-0525298

Descripteurs français

Pascal (Inist)
- Intelligence artificielle, Reconnaissance caractère, Reconnaissance optique caractère, Image binaire, Reconnaissance forme, Traitement image, Segmentation image, Autoorganisation, Emploi, Formule mathématique, Caractère imprimé, Document imprimé, Grammaire, Latex, Méthode ascendante, Réseau neuronal, Editeur texte.
Wicri :
- topic : Intelligence artificielle.

English descriptors

KwdEn :
- Artificial intelligence, Binary image, Bottom up method, Character recognition, Employment, Grammar, Image processing, Image segmentation, Latex, Mathematical formula, Neural network, Optical character recognition, Pattern recognition, Printed character, Printed document, Self organization, Text editor.

Abstract

An OCR system is presented to understand mathematical formulas in binary printed document images. The system utilizes a novel component-labeling algorithm for extracting local maximum components from image, and uses these components to locate the mathematical formulas. A character recognition algorithm based on neural networks is then adopted. For segmenting merged characters in the image, a novel segmentation algorithm based on a modified SOM neural network was introduced into the system. With the employment of LL(1) grammar, this system can convert the recognition results into a LATEX file.

Affiliations:

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

to stream PascalFrancis, to step Corpus: 000314
to stream PascalFrancis, to step Curation: 000472
to stream PascalFrancis, to step Checkpoint: 000363
to stream Main, to step Merge: 001224
to stream Main, to step Curation: 001190

Le document en format XML

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<term>Image segmentation</term>
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<term>Mathematical formula</term>
<term>Neural network</term>
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<front><div type="abstract" xml:lang="en">An OCR system is presented to understand mathematical formulas in binary printed document images. The system utilizes a novel component-labeling algorithm for extracting local maximum components from image, and uses these components to locate the mathematical formulas. A character recognition algorithm based on neural networks is then adopted. For segmenting merged characters in the image, a novel segmentation algorithm based on a modified SOM neural network was introduced into the system. With the employment of LL(1) grammar, this system can convert the recognition results into a LATEX file.</div>
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A bottom-up OCR system for mathematical formulas recognition

A bottom-up OCR system for mathematical formulas 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