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Toponym Recognition in Scanned Color Topographic Maps

hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierVisualization and manipulation of complex data on wireless mobile devices [IPARLA ]
dc.contributor.authorPOUDEROUX, Joachim
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierVisualization and manipulation of complex data on wireless mobile devices [IPARLA ]
dc.contributor.authorGONZATO, Jean-Christophe
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorPEREIRA, Aurélien
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierVisualization and manipulation of complex data on wireless mobile devices [IPARLA ]
dc.contributor.authorGUITTON, Pascal
dc.date.accessioned2024-04-15T09:54:36Z
dc.date.available2024-04-15T09:54:36Z
dc.date.issued2007-09
dc.date.conference2007-09
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198691
dc.description.abstractEnTopographic 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.isoen
dc.source.titleToponym Recognition in Scanned Color Topographic Maps
dc.title.enToponym Recognition in Scanned Color Topographic Maps
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Autre [cs.OH]
bordeaux.page531--535
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleProceedings of ICDAR 2007: 9th International Conference on Document Analysis and Recognition
bordeaux.countryBR
bordeaux.title.proceedingToponym Recognition in Scanned Color Topographic Maps
bordeaux.peerReviewedoui
hal.identifierhal-00308009
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00308009v1
bordeaux.COinSctx_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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