OcrV1, Main, Exploration, bibRecord, 001476

The Impact of OCR Accuracy on Automatic Text Classification

Identifieur interne : 001476 ( Main/Exploration ); précédent : 001475; suivant : 001477

The Impact of OCR Accuracy on Automatic Text Classification

Auteurs : Guowei Zu [Japon] ; Mayo Murata [Japon] ; Wataru Ohyama [Japon] ; Tetsushi Wakabayashi [Japon] ; Fumitaka Kimura [Japon]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.

RBID : ISTEX:6A65353E3FD60DFE635CA2ED9D1812109AA85327

Descripteurs français

Pascal (Inist)
- Analyse contenu, Analyse statistique, Approche probabiliste, Classification automatique, Faisabilité, Gestion contenu, Image numérique, Numérisation, Recherche information, Reconnaissance caractère, Reconnaissance optique caractère, Réseau web, Scanneur image, Système information, Texte intégral.
Wicri :
- topic : Numérisation.

English descriptors

KwdEn :
- Automatic classification, Character recognition, Content analysis, Content management, Digital image, Digitizing, Feasibility, Full text, Image scanners, Information retrieval, Information system, Optical character recognition, Probabilistic approach, Statistical analysis, World wide web.

Abstract

Abstract: Current general digitization approach of paper media is converting them into the digital images by a scanner, and then reading them by an OCR to generate ASCII text for full-text retrieval. However, it is impossible to recognize all characters with 100% accuracy by the present OCR technology. Therefore, it is important to know the impact of OCR accuracy on automatic text classification to reveal its technical feasibility. In this research we perform automatic text classification experiments for English newswire articles to study on the relationships between the accuracies of OCR and the text classification employing the statistical classification techniques.

Url:

https://api.istex.fr/document/6A65353E3FD60DFE635CA2ED9D1812109AA85327/fulltext/pdf

DOI: 10.1007/978-3-540-30483-8_49

Affiliations:

Japon
Tokyo

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<front><div type="abstract" xml:lang="en">Abstract: Current general digitization approach of paper media is converting them into the digital images by a scanner, and then reading them by an OCR to generate ASCII text for full-text retrieval. However, it is impossible to recognize all characters with 100% accuracy by the present OCR technology. Therefore, it is important to know the impact of OCR accuracy on automatic text classification to reveal its technical feasibility. In this research we perform automatic text classification experiments for English newswire articles to study on the relationships between the accuracies of OCR and the text classification employing the statistical classification techniques.</div>
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Serveur d'exploration sur l'OCR

The Impact of OCR Accuracy on Automatic Text Classification

The Impact of OCR Accuracy on Automatic Text Classification

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

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