Sumerian Character Extraction by Using Discrete Wavelet Transform and Split Region Methods

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Moahaimen Talib Jamila Harbi S

Abstract

this paper proposed a new method to extract characters from Sumerian Texts in Sumerian cuneiform tablets from the Ur III period. The work was confronted by the challenges posed by the fact that Sumerian is not a well understood language and it is not similar to any other ancient or modern language, so we offered a new method for extracting characters from Sumerian tablets,it has an accurate results and better time consuming than other methods, taking many tablet images and applying preprocessing methods to enhance and segment the image and then discrete wavelet transformation and we extract characters for each tablet image by split region algorithm, this work will be very helpful to  Cuneiforms and scholars in their field.

Keywords

Sumerian Texts, discrete wavelet transformation, Sumerian tablets, Features extract.

References

[1] N.Samual Kramer, “The Sumerians their History, Culture, and Character,” Chicago University Press, Chicago, 1963.
[2] R.Eleanor , “Tables and Tabular Formatting in Sumer, Babylonia and Assyria, 2500-50 BCE,” Oxford University Press, Oxford,2003.
[3] S. Gabriella, “Two Old Babylonian Model Contracts,” Cuneiform Digital Library Journal, vol.24, 2014.
[4] ePSD, “The Electronic Pennsylvania Sumerian Dictionary Project,” psd.museum.upenn.edu/epsd/index.html,(2017).
[5] CDLI, “The Cuneiform Digital Library Initiative,” cdli.ucla.edu, (2017).
[6] H. Hendrik, W. Geert, “New Visualization Techniques for Cuneiform Texts and Sealings,” Journal of Akkadica, vol.132, pp. 163-178, 2011.
[7] V. Carlo, V. Luc, V. Karl, V. Jay Rompay and W. Patrick, “Digitizing The Cuneiform Tablets From Beydar,” in Images and Artifacts of the Ancient World, Bowman, A. and M. Brady, London, pp. 85-96,2005.
[8] K. Subodh, S .Dean, D. Donald and C. Jerry, “Digital Preservation of Ancient Cuneiform Tablets Using 3D-Scanning," In Proceedings of the IEEE Fourth International Conference on 3-D Digital Imaging and Modeling, 2003.
[9] V. Daniel, Hahn, C. Kevin Baldwin, and D. Donald Duncan “Non-Laser-Based Scanner for Three-Dimensional Digitization of Historical Artifacts,” Journal Appl. Opt, vol. 46, pp. 2838-2850, 2007.
[10] J. Kantel, P. Damerow, S. Köhler and C. Tsouparopoulou, “3D-Scans Von Keilschrifttafeln - ein Werkstattbericht,” Assmann, W., Hausmann-Jamin, vol.26, DV-Treffen der Max-Planck-Instituut, atenverarbeitung, pp. 41-62,2010.

[11] R. Majeed, B. Zou Beiji, H. Hiyam and W. Jumana, “Ancient Cuneiform Text Extraction Based on Automatic Wavelet Selection,“ International Journal of Multimedia and Ubiquitous Engineering, vol.10, pp.253-264, 2015.

[12] H.Tzu-Heng Lee, “Wavelet Analysis for Image Processing,“ Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan, 2017.
[13] C. Rafael Gonzalez Gonzalez, E. Richard Woods and L. Steven Eddins, “ Digital Image Processing Using Matlab,”, 2004.

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