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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15617
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dc.contributor.authorPratim Roy, Partha-
dc.contributor.authorLladòs J.-
dc.contributor.authorPal U.-
dc.date.accessioned2020-12-02T11:41:27Z-
dc.date.available2020-12-02T11:41:27Z-
dc.date.issued2009-
dc.identifier.citationProceedings of VISAPP 2009 of the 4th International Conference on Computer Vision Theory and Applications, (2009), 209- 216. Lisboa-
dc.identifier.isbn9.7899E+12-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/15617-
dc.description.abstractAutomatic Text/symbols retrieval in graphical documents (map, engineering drawing) involves many challenges because they are not usually parallel to each other. They are multi-oriented and curve in nature to annotate the graphical curve lines and hence follow a curvi-linear way too. Sometimes, text and symbols frequently touch/overlap with graphical components (river, street, border line) which enhances the problem. For OCR of such documents we need to extract individual text lines and their corresponding words/characters. In this paper, we propose a methodology to extract individual text lines and an approach for recognition of the extracted text characters from such complex graphical documents. The methodology is based on the foreground and background information of the text components. To take care of background information, water reservoir concept and convex hull have been used. For recognition of multi-font, multi-scale and multi-oriented characters, Support Vector Machine (SVM) based classifier is applied. Circular ring and convex hull have been used along with angular information of the contour pixels of the characters to make the feature rotation and scale invariant.-
dc.language.isoen_US-
dc.relation.ispartofProceedings of VISAPP 2009 of the 4th International Conference on Computer Vision Theory and Applications-
dc.subjectConvex hull-
dc.subjectGraphics recognition-
dc.subjectOptical character recognition-
dc.subjectSkeleton analysis-
dc.titleA complete system for detection and recognition of text in graphical documents using background information-
dc.typeConference Paper-
dc.scopusid56880478500-
dc.scopusid6603062543-
dc.scopusid57200742116-
dc.affiliationRoy, P.P., Computer Vision Center, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain-
dc.affiliationLladòs, J., Computer Vision Center, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain-
dc.affiliationPal, U., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata - 108, India-
dc.description.correspondingauthorRoy, P. P.; Computer Vision Center, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain; email: partha@cvc.uab.es-
dc.identifier.conferencedetails4th International Conference on Computer Vision Theory and Applications, VISAPP 2009, Lisboa, 5-8 February 2009-
Appears in Collections:Conference Publications [CS]

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