Cuneiform Tablets Image Preprocessing Proposed Algorithms Techniques for Pattern Recognition

  • Ali Adel Saeid Computer Science Department, University Of Technology, Baghdad, Iraq
  • Abdual Munim S. Rahma Computer Science Department, University Of Technology, Baghdad, Iraq
  • Muhsen J. Abdul Hussien Computer Science Department, University Of Technology, Baghdad, Iraq
Keywords: cuneiform, distance transform, image Binariztion, image preprocessing

Abstract

Cuneiform symbols recognition represents a complicated task in pattern recognition  and image analysis as a result of problems that related to cuneiform symbols like distortion and unwanted objects that associated with applying Binrizetion process like spots and writing lines. This paper aims to present new proposed algorithms to solve these problems for reaching uniform results about cuneiform symbols recognition that related to (select appropriate Binerized method, erased writing lines and spots) based on statistical Skewness measure, image morphology and distance transform concepts. The experiment results show that our proposed algorithms have excellent result and can be adopted as a preprocessing technique.

Published
2018-07-29
How to Cite
Saeid, A. A., Rahma, A. M. S., & Abdul Hussien, M. J. (2018). Cuneiform Tablets Image Preprocessing Proposed Algorithms Techniques for Pattern Recognition. Iraqi Journal of Science, 59(3A), 1326-1338. Retrieved from https://ijs.uobaghdad.edu.iq/index.php/eijs/article/view/301
Section
Computer Science