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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15617
Title: A complete system for detection and recognition of text in graphical documents using background information
Authors: Pratim Roy, Partha
Lladòs J.
Pal U.
Published in: Proceedings of VISAPP 2009 of the 4th International Conference on Computer Vision Theory and Applications
Abstract: Automatic 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.
Citation: Proceedings of VISAPP 2009 of the 4th International Conference on Computer Vision Theory and Applications, (2009), 209- 216. Lisboa
URI: http://repository.iitr.ac.in/handle/123456789/15617
Issue Date: 2009
Keywords: Convex hull
Graphics recognition
Optical character recognition
Skeleton analysis
ISBN: 9.7899E+12
Author Scopus IDs: 56880478500
6603062543
57200742116
Author Affiliations: Roy, P.P., Computer Vision Center, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain
Lladòs, J., Computer Vision Center, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain
Pal, U., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata - 108, India
Corresponding Author: Roy, P. P.; Computer Vision Center, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain; email: partha@cvc.uab.es
Appears in Collections:Conference Publications [CS]

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