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A Weighted Hybrid Thresholding Approach for Text Binarization

by S. T. Deepa, S. P. Victor
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 7
Year of Publication: 2012
Authors: S. T. Deepa, S. P. Victor
10.5120/8218-1640

S. T. Deepa, S. P. Victor . A Weighted Hybrid Thresholding Approach for Text Binarization. International Journal of Computer Applications. 52, 7 ( August 2012), 41-43. DOI=10.5120/8218-1640

@article{ 10.5120/8218-1640,
author = { S. T. Deepa, S. P. Victor },
title = { A Weighted Hybrid Thresholding Approach for Text Binarization },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 7 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number7/8218-1640/ },
doi = { 10.5120/8218-1640 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:51:42.241888+05:30
%A S. T. Deepa
%A S. P. Victor
%T A Weighted Hybrid Thresholding Approach for Text Binarization
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 7
%P 41-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text extraction in real images taken in unconstrained environments remains surprisingly challenging in Computer Vision due to language characteristics, complex backgrounds and the text color. Extraction of text and caption from images and videos is important and in great demand for video retrieval, annotation, indexing and content analysis. In this paper we propose a weighted hybrid thresholding approach. It is demonstrated that the proposed method achieved reasonable accuracy of the text extraction for moderately difficult examples.

References
  1. R. Minetto,N. Thome, M. Cord, J. Stolfi, F. Precioo, J. Guyumard and N. J. Leite, "Text Detection and recognition in Urban scenes", IEEE International Conference on Computer Vision workshop, 2011.
  2. J. Sauvola, T. Seppanen, S. Haapakoski and M. Pietikainen, "Adaptive Document Binarization", Proceedings of the IEEE fourth International Conference on Document Analysis and recognition,IEEE, 1997, vol. 1, pp 147 – 152.
  3. Ntogas, Nikolas, Ventzas, Dimitrios, "A Binarization algorithm for historical manuscripts", 12th WSEAS International Conference on Communications, Heraklion, Greece, July 23 – 25, 2008
  4. Christian Wolf and David Doermann, "Binarization of low quality text using a Markov Random field model" Proceedings of IEEE 16th International Conference on Pattern Recognition, vol. 3, pp. 160 – 163, 2002.
  5. Celine Mancas, Thillou and Bernard Gosselin, " Color Text Extraction from Camera based images-the impact of the choice of the clustering distance", Proceedings of the IEEE 8th International Conference on Document Analysis and recognition, 2005, vol. 1, pp 312 – 316.
  6. Yaakov Navon, "Layer based binarization for Textual images", 19th International conference on pattern recognition, Vol. 1-6, (2008), p. 2634-2638
  7. J. Park, T. N. Dinh and G. Lee, "Binarization of text region based on fuzzy clustering and histogram distribution in signboards", World Academy of Science, Engineering and Technology, 43, 2008
  8. Z. Zhou, L. Li and C. L. Tan, "Edge based binarization for video text images", 2010 International Conference on Pattern Recognition.
  9. C. Wolf, J. M. Jolion and F. Chassaing, "Text localization, enchancement and binarization in multimedia documents", Proceedings of IEEE 16th International Conference on Pattern Recognition, Vol. 2, pp 1037 -1040.
  10. B. Fernando, S. Karaoglu and A. Tremeau, "Extreme value theory based text binarization in documents and natural scenes", 2010, The 3rd International Conference on machine Learning.
  11. A. Mishra, K. Alahari and C. V. Jawahar, "An MRF model for binarization of Natural scene text", Proceedings of IEEE International Conference on Document Analysis and Recognition
  12. K. Ntirogiannis, B. Gatos and I. Pratikakis, "An objective evaluation methodology for document image binarization techniques", The 8th IAPR workshop on Document analysis systems.
  13. Chitrakala Gopalan and D. Manjula, " Sliding window approach based text binarization from complex textual images", International Journal on Computer Science and engineering, Vol 2, 2010, pp. 309 - 313
Index Terms

Computer Science
Information Sciences

Keywords

Thresholding weight hybrid approach

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