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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15656
Title: A system to segment text and symbols from color maps
Authors: Roy P.P.
Vazquez E.
Lladós J.
Baldrich R.
Pal U.
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract: Automatic separation of text and symbols from graphics in document image is one of the fundamental aims in graphics recognition. In maps, separation of text and symbols from graphics involves many challenges because the text and symbols frequently touch/overlap with graphical components. Sometimes the colors in a single character are gradually distributed which adds extra difficulty in text and symbol separation from color maps. In this paper we proposed a system to retrieve text and symbol from color map. Here, at first, we separate the map into different foreground layers according to color features and then in each layer, connected component features and skeleton information are used to identify text and symbol from graphics on the basis of their geometrical features. Lastly, segmentation results of the individual layers are combined to get final segmentation results. From the experiment we obtained encouraging results. © 2008 Springer-Verlag Berlin Heidelberg.
Citation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (2008), 245- 256. Curitiba
URI: https://doi.org/10.1007/978-3-540-88188-9_23
http://repository.iitr.ac.in/handle/123456789/15656
Issue Date: 2008
Keywords: Color
Color image processing
Image segmentation
Isomers
Maps
Optical projectors
Optical properties
Separation
Technical presentations
Color features
Color maps
Connected components
Document images
Geometrical features
Graphics recognitions
Segmentation results
Codes (symbols)
ISBN: 3540881840; 9783540881841
ISSN: 3029743
Author Scopus IDs: 56880478500
23399198500
6603062543
6506159078
57200742116
Author Affiliations: Roy, P.P., Computer Vision Center, Universitat Autònoma de Barcelona, 08193, Bellaterra (Barcelona), Spain
Vazquez, E., Computer Vision Center, Universitat Autònoma de Barcelona, 08193, Bellaterra (Barcelona), Spain
Lladós, J., Computer Vision Center, Universitat Autònoma de Barcelona, 08193, Bellaterra (Barcelona), Spain
Baldrich, R., 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
Appears in Collections:Conference Publications [CS]

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