OcrV1, Main, Exploration, bibRecord, 000D39

Toponym Recognition in Scanned Color Topographic Maps

Identifieur interne : 000D39 ( Main/Exploration ); précédent : 000D38; suivant : 000D40

Toponym Recognition in Scanned Color Topographic Maps

Auteurs : Joachim Pouderoux [France] ; Jean-Christophe Gonzato [France] ; Aurélien Pereira [France] ; Pascal Guitton [France]

Source :

RBID : Hal:hal-00308009

Abstract

Topographic paper maps are a common support for geographical information. In the field of document analysis of this kind of support, this paper proposes an automatic approach to extract and recognize toponyms. We present a technique based on image segmentation and connected component processing. Different filtering stages ensure the consistency of plausible characters and strings. Detected text areas are used to feed an OCR software and the recognized words are analyzed and corrected. The main advantage of our technique is that no assumption is made about the character font, size or orientation. Experimental results obtained are encouraging in term of recognition efficiency.

Url:

https://hal.archives-ouvertes.fr/hal-00308009

Affiliations:

France

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

to stream Hal, to step Corpus: 000126
to stream Hal, to step Curation: 000126
to stream Hal, to step Checkpoint: 000122
to stream Main, to step Merge: 000D51
to stream Main, to step Curation: 000D39

Le document en format XML

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<front><div type="abstract" xml:lang="en">Topographic paper maps are a common support for geographical information. In the field of document analysis of this kind of support, this paper proposes an automatic approach to extract and recognize toponyms. We present a technique based on image segmentation and connected component processing. Different filtering stages ensure the consistency of plausible characters and strings. Detected text areas are used to feed an OCR software and the recognized words are analyzed and corrected. The main advantage of our technique is that no assumption is made about the character font, size or orientation. Experimental results obtained are encouraging in term of recognition efficiency.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
</list>
<tree><country name="France"><noRegion><name sortKey="Pouderoux, Joachim" sort="Pouderoux, Joachim" uniqKey="Pouderoux J" first="Joachim" last="Pouderoux">Joachim Pouderoux</name>
</noRegion>
<name sortKey="Gonzato, Jean Christophe" sort="Gonzato, Jean Christophe" uniqKey="Gonzato J" first="Jean-Christophe" last="Gonzato">Jean-Christophe Gonzato</name>
<name sortKey="Guitton, Pascal" sort="Guitton, Pascal" uniqKey="Guitton P" first="Pascal" last="Guitton">Pascal Guitton</name>
<name sortKey="Pereira, Aurelien" sort="Pereira, Aurelien" uniqKey="Pereira A" first="Aurélien" last="Pereira">Aurélien Pereira</name>
</country>
</tree>
</affiliations>
</record>

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   |texte=   Toponym Recognition in Scanned Color Topographic Maps
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Toponym Recognition in Scanned Color Topographic Maps

Toponym Recognition in Scanned Color Topographic Maps

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Abstract

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