OcrV1, Main, Exploration, bibRecord, 001E26

Integrated text and line-art extraction from a topographic map

Identifieur interne : 001E26 ( Main/Exploration ); précédent : 001E25; suivant : 001E27

Integrated text and line-art extraction from a topographic map

Auteurs : LUYANG LI [États-Unis] ; George Nagy (informaticien) [États-Unis] ; A. Samal [États-Unis] ; S. Seth [États-Unis] ; YIHONG XU [États-Unis]

Source :

International journal on document analysis and recognition : (Print) [ 1433-2833 ] ; 2000.

RBID : Pascal:00-0341139

Descripteurs français

Pascal (Inist)
- Localisation, Interface utilisateur, Reconnaissance caractère, Représentation graphique, Mode conversationnel, Adaptation, Système information géographique, Reconnaissance graphique, Segmentation, Lecteur optique, Texte, Interface graphique, Etude expérimentale, Rue, Taux erreur, Traitement coopératif, Traitement forme.

English descriptors

KwdEn :
- Adaptation, Character recognition, Error rate, Experimental study, Geographic information system, Graphical interface, Graphical recognition, Graphics, Interactive mode, Localization, Optical reader, Segmentation, Street, Text, User interface.

Abstract

Our proposed approach to text and line-art extraction requires accurately locating a text-string box and identifying external line vectors incident on the box. The results of extrapolating these vectors inside the box are passed to an experimental single-font optical character reader (OCR) program, specifically trained for the font used for street labels. In the first evaluation experiment, automated techniques are used to identify the boxes and the line vectors. In the second, more comprehensive, experiment an operator marks these using a graphical user interface. OCR results on 544 instances of overlapped street-name boxes show the following improvements due to the integrated processing: the error rate is reduced from 4.1% to 2.0% for characters and from 11.8% to 6.4% for words.

Affiliations:

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

to stream PascalFrancis, to step Corpus: 000770
to stream PascalFrancis, to step Curation: 000024
to stream PascalFrancis, to step Checkpoint: 000720
to stream Main, to step Merge: 001F32
to stream Main, to step Curation: 001E26

Le document en format XML

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<term>Experimental study</term>
<term>Geographic information system</term>
<term>Graphical interface</term>
<term>Graphical recognition</term>
<term>Graphics</term>
<term>Interactive mode</term>
<term>Localization</term>
<term>Optical reader</term>
<term>Segmentation</term>
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<term>Interface utilisateur</term>
<term>Reconnaissance caractère</term>
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<term>Mode conversationnel</term>
<term>Adaptation</term>
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<term>Reconnaissance graphique</term>
<term>Segmentation</term>
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<front><div type="abstract" xml:lang="en">Our proposed approach to text and line-art extraction requires accurately locating a text-string box and identifying external line vectors incident on the box. The results of extrapolating these vectors inside the box are passed to an experimental single-font optical character reader (OCR) program, specifically trained for the font used for street labels. In the first evaluation experiment, automated techniques are used to identify the boxes and the line vectors. In the second, more comprehensive, experiment an operator marks these using a graphical user interface. OCR results on 544 instances of overlapped street-name boxes show the following improvements due to the integrated processing: the error rate is reduced from 4.1% to 2.0% for characters and from 11.8% to 6.4% for words.</div>
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Integrated text and line-art extraction from a topographic map

Integrated text and line-art extraction from a topographic map

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