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

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
Jul 29, 2018
How to Cite
SAEID, Ali Adel; RAHMA, Abdual Munim S.; ABDUL HUSSIEN, Muhsen J.. Cuneiform Tablets Image Preprocessing Proposed Algorithms Techniques for Pattern Recognition. Iraqi Journal of Science, [S.l.], p. 1326-1338, july 2018. ISSN 2312-1637. Available at: <http://scbaghdad.edu.iq/eijs/index.php/eijs/article/view/301>. Date accessed: 16 oct. 2018.
Section
Computer Science