Optimal selection of binarization techniques for the processing of ancient palm leaf manuscripts

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2010, Pages 3796-3800

  Chamchong, Rapeeporn ^a   Fung, Chun Che ^a  

^a MURDOCH UNIVERSITY   (Australia)

Author keywords

Binarization techniques; Image segmentation; Palm leave manuscripts

Indexed keywords

ADVANCED COMPUTER TECHNOLOGY; AUTOMATIC SELECTION; BINARIZATIONS; COMMONLY USED; IMAGE PROCESSING PROBLEMS; IMAGE PROCESSING SYSTEM; KNOWLEDGE EXTRACTION; MACHINE LEARNING TECHNIQUES; OPTIMAL SELECTION; PALM LEAVE MANUSCRIPTS; THAILAND;

CHARACTER RECOGNITION; CYBERNETICS; IMAGING SYSTEMS; OPTIMIZATION;

IMAGE SEGMENTATION;

EID: 78751564855     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2010.5642008     Document Type: Conference Paper

References (20)

1. (2008). Information Heritage Available: http://www.emc.com/leadership/ digital-universe/information-heritage-awards-2008.htm
2. Y. Musiket, "Scanning the Past," 15 January 2010, 2009.
3. Mahasarakham University, "Palm Leaf Manuscript Preservation Project in Northeastern Region," Mahasarakham University, Thailand 2005.
4. R. Chamchong and C. C. Fung, "Comparing background elimination approaches for processing of ancient Thai manuscripts on palm leaves," in 2009 Int. Conf. Machine Learning and Cybernetics, China, 12-15 July, 2009.
5. Y. Chen and G. Leedham, "Decompose algorithm for thresholding degraded historical document images, " in IEE Proceeding Visual Image Signal Processing, December, 2005.
6. J. He, Q. D. M. Do, A. C. Downton, and J. H. Kim, "A comparison of binarization methods for historical archive documents," in Proc. 8th Int. Conf. Document Analysis and Recognition, 2005, pp. 538-542 Vol. 1.
7. G. Leedham, Y. Chen, K. Takru, T. Joie Hadi Nata, and M. Li, "Comparison of some thresholding algorithms for text/background segmentation in difficult document images," in Proc. 7th Int. Conf. Document Analysis and Recognition, 2003, pp. 859-864.
8. M. Sezgin and B. Sankur, "Survey over image thresholding techniques and quantitative performance evaluation," J. of Electronic Imaging, vol. 13, pp. 146-168, 2004.
9. W. Niblack, An introduction to digital image processing: Prentice Hall, 1986.
10. N. Otsu, "A threshold selection method from gray-level histogram," IEEE Trans. Systerns Man Cybernet, vol. 9, pp. 62-66, 1979.
11. J. Sauvola and M. Pietikainen, "Adaptive document image binarization," Pattern Recognition, vol. 33, pp. 225-236, 2000.
12. M. Sezgin and B. Sankur, "Selection of thresholding methods for nondestructive testing applications," in Proc. 2001 Int. Conf. Image Processing, 2001, pp. 764-767 vol.3.
13. O. D. Trier and A. K. Jain, "Goal-directed evaluation of binarization methods," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, pp. 1191-1201, December 12, 1995.
14. R. C. Gonzalez and R. E. Woods, Digital Image Processing. New Jersey: Prentice-Hall, 2002.
15. J. Kittler and J. Illingworth, "Minimum error thresholding," Pattern Recognition, vol. 19, pp. 41-47, 1986.
16. J. N. Kapur, P. K. Sahoo, and A. K. C. Wong, "A new method for gray-level picture thresholding using the entropy of the histogram," Graph. Models Image Process, vol. 29, pp. 273-285, 1985.
17. Y. Jui-Cheng, C. Fu-Juay, and C. Shyang, "A new criterion for automatic multilevel thresholding," Image Processing, IEEE Transactions on, vol. 4, pp. 370-378, 1995.
18. W. H. Tsai, "Moment-preserving thresholding: A new approch," Graph. Models Image Process, vol. 19, pp. 377-379, 1985.
19. L.-K. Huang and M.-J. J. Wang, "Image thresholding by minimizing the measures of fuzziness," Pattern Recognition, vol. 28, pp. 41-51, 1995.
20. F. v. d. Heijden, R. P. W. Duin, D. d. Ridder, and D. M. J. Tax, Classification, parameter estimation and state estimation : an engineering approach using MATLAB West Sussex, England: John Wiley & Sons, Ltd, 2004.