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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15921
Title: Recognition of multi-oriented touching characters in graphical documents
Authors: Pratim Roy, Partha
Pal U.
Lladós J.
Published in: Proceedings of 6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008
Abstract: Touching characters are major problem of achieving higher recognition rate in Optical Character Recognition (OCR). Present OCR systems do not perform well when adjacent characters touch. If characters are touched in graphical documents (e.g. map) then such touching string recognition is more difficult because in such documents touching characters appear in multi-oriented direction. In this paper, we present a scheme towards the recognition of English two-character multi-oriented touching strings. When two or more characters touch, they generate a big cavity region at the background portion and we used this background information in our scheme. To handle the background information, convex hull is used. In this scheme, at first, a set of initial segmentation points is predicted based on the concave residues of the convex hull of the touching characters. Next, based on the initial points, we select some candidate segmentation lines. Finally the recognition confidence of two sub-images of a touching string, obtained from each candidate segmentation line is computed. The candidate segmentation line from which we get optimum confidence is the actual segmentation line and the corresponding characters in favour of which the two segmentation parts show optimum confidence is the recognition result of the touching string. To compute the recognition confidence, SVM classifier is used. The features used in the SVM are invariant to character orientation. Circular ring and convex hull ring based approach has been used along with angular information of the contour pixels of the character to make the feature rotation invariant. From the experiment we obtained encouraging result. © 2008 IEEE.
Citation: Proceedings of 6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008, (2008), 297- 304. Bhubaneswar
URI: https://doi.org/10.1109/ICVGIP.2008.26
http://repository.iitr.ac.in/handle/123456789/15921
Issue Date: 2008
Keywords: Adjacent characters
Background informations
Candidate segmentation lines
Cavity regions
Character orientations
Circular rings
Convex hulls
Initial points
Initial segmentations
Oriented directions
Recognition rates
Rotation invariants
Segmentation lines
Sub-images
Svm classifiers
Touching characters
Computer vision
Imaging systems
Ionizing radiation
Optical character recognition
Optical data processing
Support vector machines
Wimax
Image segmentation
ISBN: 9.78077E+12
Author Scopus IDs: 56880478500
57200742116
6603062543
Author Affiliations: Roy, P.P., Computer Vision Center, Universitat Autònoma De Barcelona, 08193, Bellaterra, Spain
Pal, U., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata - 108, India
Lladós, J., Computer Vision Center, Universitat Autònoma De Barcelona, 08193, Bellaterra, Spain
Corresponding Author: Roy, P. P.; Computer Vision Center, Universitat Autònoma De Barcelona, 08193, Bellaterra, Spain; email: partha@cvc.uab.es
Appears in Collections:Conference Publications [CS]

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