Journals Subheadlines Text Extraction Using Wavelet Thresholding and New Projection Profile
In this paper a new robust and efficient algorithm to automatic text extraction from colored book and journal cover sheets is proposed. First, we perform wavelet transform. Next for edge detecting from detail wavelet coefficient, we use dynamic threshold. By blurring approximate coefficients with alternative heuristic thresholding, achieve effective edge,. Afterward, with ROI technique get binary image. Finally text boxes would be extracted with new projection profile.
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techniques and quantitative performance evaluation" Journal of
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[2] Faisal Shafait, Daniel Keysers, Thomas M. Breuel, "Efficient
Implementation of Local Adaptive Thresholding Techniques Using
Integral Images", Proc. SPIE, Vol. 6815, 681510 (2008).
[3] S. Sudha, G. R.Suresh and R. Sukanesh. "Speckle Noise Reduction in
Ultrasound Images by Wavelet Thresholding based on Weighted
Variance", International Journal of Computer Theory and Engineering,
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Conference on Computational Intelligence and Multimedia Applications
(ICCIMA 2007), 2007.S. Audithan, RM. Chandrasekaran "Document
Text Extraction from Document Images Using Haar Discrete Wavelet
Transform" European Journal of Scientific Research;SSN 1450-216X
Vol.36 No.4 (2009), pp.502-512.
[5] K. Sobotka, H. Kronenberg, T. Perround,H. Bunke, "Text extraction
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Document Analysis and Recognition, Volume 2, Number 4 / June, 2000.
[6] Gholamreza Aghajari, Jamshid Shanbehzadeh, "A Text Localization
Algorithm in Color Image via New Projection Profile" International
MultiConference of Engineers and Computer Scientists 2010.
[7] "Image Processing Toolbox for Use with MATLAB®" User's Guide
Verson3,┬®COPYRIGHT 1993 - 2002 by The MathWorks, Inc.
[8] Chitrakala Gopalan, D.Manjula, "Sliding window approach based Text
Binarisation from Complex Textual images" International Journal on
Computer Science and Engineering Vol. 02, No. 02, 2010.
[1] Mehmet Sezgin , Bulent Sankur "Survey over image thresholding
techniques and quantitative performance evaluation" Journal of
Electronic Imaging 13(1), 146-165 (January 2004).
[2] Faisal Shafait, Daniel Keysers, Thomas M. Breuel, "Efficient
Implementation of Local Adaptive Thresholding Techniques Using
Integral Images", Proc. SPIE, Vol. 6815, 681510 (2008).
[3] S. Sudha, G. R.Suresh and R. Sukanesh. "Speckle Noise Reduction in
Ultrasound Images by Wavelet Thresholding based on Weighted
Variance", International Journal of Computer Theory and Engineering,
Vol. 1, No. 1, April 2009 ,1793-8201.
[4] S. Sudha, G.R. Suresh, R. Sukanesh, "Wavelet Based Image Denoising
Using Adaptive Thresholding," iccima, vol. 3, pp.296-300, International
Conference on Computational Intelligence and Multimedia Applications
(ICCIMA 2007), 2007.S. Audithan, RM. Chandrasekaran "Document
Text Extraction from Document Images Using Haar Discrete Wavelet
Transform" European Journal of Scientific Research;SSN 1450-216X
Vol.36 No.4 (2009), pp.502-512.
[5] K. Sobotka, H. Kronenberg, T. Perround,H. Bunke, "Text extraction
from colored book and journal covers" International Journal on
Document Analysis and Recognition, Volume 2, Number 4 / June, 2000.
[6] Gholamreza Aghajari, Jamshid Shanbehzadeh, "A Text Localization
Algorithm in Color Image via New Projection Profile" International
MultiConference of Engineers and Computer Scientists 2010.
[7] "Image Processing Toolbox for Use with MATLAB®" User's Guide
Verson3,┬®COPYRIGHT 1993 - 2002 by The MathWorks, Inc.
[8] Chitrakala Gopalan, D.Manjula, "Sliding window approach based Text
Binarisation from Complex Textual images" International Journal on
Computer Science and Engineering Vol. 02, No. 02, 2010.
@article{"International Journal of Information, Control and Computer Sciences:54791", author = "Davod Zaravi and Habib Rostami and Alireza Malahzaheh and S. S. Mortazavi", title = "Journals Subheadlines Text Extraction Using Wavelet Thresholding and New Projection Profile", abstract = "In this paper a new robust and efficient algorithm to automatic text extraction from colored book and journal cover sheets is proposed. First, we perform wavelet transform. Next for edge detecting from detail wavelet coefficient, we use dynamic threshold. By blurring approximate coefficients with alternative heuristic thresholding, achieve effective edge,. Afterward, with ROI technique get binary image. Finally text boxes would be extracted with new projection profile.
", keywords = "Text extraction, colored cover sheet, wavelet threshold, region of interest.", volume = "5", number = "1", pages = "30-4", }
