Toponym Recognition in Scanned Color Topographic Maps
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
hal.structure.identifier | Visualization and manipulation of complex data on wireless mobile devices [IPARLA ] | |
dc.contributor.author | POUDEROUX, Joachim | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
hal.structure.identifier | Visualization and manipulation of complex data on wireless mobile devices [IPARLA ] | |
dc.contributor.author | GONZATO, Jean-Christophe | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
dc.contributor.author | PEREIRA, Aurélien | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
hal.structure.identifier | Visualization and manipulation of complex data on wireless mobile devices [IPARLA ] | |
dc.contributor.author | GUITTON, Pascal | |
dc.date.accessioned | 2024-04-15T09:54:36Z | |
dc.date.available | 2024-04-15T09:54:36Z | |
dc.date.issued | 2007-09 | |
dc.date.conference | 2007-09 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/198691 | |
dc.description.abstractEn | 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. | |
dc.language.iso | en | |
dc.source.title | Toponym Recognition in Scanned Color Topographic Maps | |
dc.title.en | Toponym Recognition in Scanned Color Topographic Maps | |
dc.type | Communication dans un congrès | |
dc.subject.hal | Informatique [cs]/Autre [cs.OH] | |
bordeaux.page | 531--535 | |
bordeaux.hal.laboratories | Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.conference.title | Proceedings of ICDAR 2007: 9th International Conference on Document Analysis and Recognition | |
bordeaux.country | BR | |
bordeaux.title.proceeding | Toponym Recognition in Scanned Color Topographic Maps | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-00308009 | |
hal.version | 1 | |
hal.invited | non | |
hal.proceedings | oui | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-00308009v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Toponym%20Recognition%20in%20Scanned%20Color%20Topographic%20Maps&rft.date=2007-09&rft.spage=531--535&rft.epage=531--535&rft.au=POUDEROUX,%20Joachim&GONZATO,%20Jean-Christophe&PEREIRA,%20Aur%C3%A9lien&GUITTON,%20Pascal&rft.genre=unknown |
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