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http://dx.doi.org/10.5762/KAIS.2013.14.2.885

Character Region Extraction Based on Texture and Depth Features  

Jang, Seok-Woo (Department of Digital Media, Anyang University)
Park, Young-Jae (School of Computing, Soongsil University)
Huh, Moon-Haeng (Department of Digital Media, Anyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.14, no.2, 2013 , pp. 885-892 More about this Journal
Abstract
In this paper, we propose a method of effectively segmenting character regions by using texture and depth features in 3D stereoscopic images. The suggested method is mainly composed of four steps. The candidate character region extraction step extracts candidate character regions by using texture features. The character region localization step obtains only the string regions in the candidate character regions. The character/background separation step separates characters from background in the localized character areas. The verification step verifies if the candidate regions are real characters or not. In experimental results, we show that the proposed method can extract character regions from input images more accurately compared to other existing methods.
Keywords
Character Region Extraction; Texture; Depth Feature; Localization; Verification;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 K.-J. Ahn and G.-Y. Kim, "Determing Intensity Value of Characters and Backgrounds on Caption," In Proc. of the Conference of the Korea Society of Computer and Information, Vol. 18, No. 2, pp. 125-128, 2010.   과학기술학회마을
2 X. Qian, G. Liu, H. Wang, and R. Su, "Text Detection, Localization, and Tracking in Compressed Video," Signal Processing: Image Communication, Vol. 22, No. 9. pp. 752-768. Oct. 2007. DOI: http://dx.doi.org/10.1016/j.image.2007.06.005   DOI   ScienceOn
3 M. R. Lyu, J. Song, and M. Cai. "A Comprehensive Method for Multilingual Video Text Detection, Localization, and Extraction," IEEE Transactions on Circuits and Systems for Video Technology, Vol. 15, No. 2, pp. 243-255, Feb. 2005. DOI: http://dx.doi.org/10.1109/TCSVT.2004.841653   DOI   ScienceOn
4 W. Kim and C. Kim, "A New Approach for Overlay Text Detection from Complex Video Scene," Journal of the Korean Society of Broadcast Engineers, Vol. 13, No. 4, pp. 544-553, Jul. 2008. DOI: http://dx.doi.org/10.5909/JBE.2008.13.4.544   과학기술학회마을   DOI   ScienceOn
5 W. Kim and C. Kim, "A New Approach for Overlay Text Detection and Extraction from Complex Video Scene," IEEE Transactions on Image Processing, Vol. 18, No. 2, pp. 401-411, Feb. 2009. DOI: http://dx.doi.org/10.1109/TIP.2008.2008225   DOI   ScienceOn
6 P. P. Roy, U. Pal, J. Llados, and M. Delalandre, "Multi-oriented Touching Text Character Segmentation in Graphical Documents Using Dynamic Programming," Pattern Recognition, Vol. 45, No. 5, pp. 1972-1983, May 2012. DOI: http://dx.doi.org/10.1016/j.patcog.2011.09.026   DOI   ScienceOn
7 K.-J. An, S.-I. Joo, G.-Y. Kim, and H.-I. Choi, "An Improved Method for Detecting Caption in Image Using DCT-Coefficient and Transition- map Analysis," Journal of the Korea Society of Computer and Information, Vol. 16, No. 4, pp. 61-71, Apr. 2011. DOI: http://dx.doi.org/10.9708/jksci.2011.16.4.061   과학기술학회마을   DOI   ScienceOn
8 O. Strauss and F. Comby, "Variable Structuring Element-based Fuzzy Morphological Operations for Single Viewpoint Omnidirectional Images," Pattern Recognition, Vol. 40, No. 12, pp. 3578- 3596, Dec. 2007. DOI: http://dx.doi.org/10.1016/j.patcog.2007.05.003   DOI   ScienceOn
9 A. Jama and S. Rakshit, "Augmenting Graph Cut with TV-L Approach for Robust Stereo Matching," In Proc. of the International Conference on Image Information Processing, pp. 1-6, 2011. DOI: http://dx.doi.org/10.1109/ICIIP.2011.6108868   DOI
10 N. Otsu, "A Threshold Selection Method from Gray-Level Histogram," IEEE Transactions on Systems, Man and Cybernetics, Vol. 9, No. 1, pp. 62-66, 1979. DOI: http://dx.doi.org/10.1109/TSMC.1979.4310076   DOI   ScienceOn
11 J. Song, M. Cai, and M. R. Lyu., "A Robust Statistic Method for Classifying Color Polarity of Video Text," In Proc. of the International Conference on Multimedia and Expo, Vol. 1, pp. 385-388, 2003.
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