- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Cuneiform Symbols Recognition Based on K-Means and Neural Network | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 16, Volume 10, Issue 1, 2013, Pages 195-202 PDF (342.39 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2013.163436 | ||
| Author | ||
| Naktal M. Edan | ||
| College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| Cuneiform is the ancient writing systemin the world. But, there is no clear interest recognition cuneiform symbol, despite its importance. This research interested in building an algorithm for cuneiform symbol recognition. Firstly, the Sumerian texts were entered through the scanner and make some initial preprocessing operations such as segmentation for the purpose of cutting the text and getting a cuneiform symbol. Then, features were extracted for each symbol by using vertical and horizontal projections, centre of gravity, and connected component. Because of the large number of cuneiform symbols, the similar symbols are clustered by K-means algorithm, then multilayer neural networks are used to classify the symbol within the same cluster. The proposed algorithm gave good results. | ||
| Keywords | ||
| Symbols Recognition; K-Means algorithm; and Neural Network | ||
|
Statistics Article View: 379 PDF Download: 324 |
||