- 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
Utilization of Edge Information in Handwritten Numerals Recognition | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 57, Issue 2, 2016, Pages 984-994 | ||
| Author | ||
| Nada Najeel Kamal | ||
| Abstract | ||
| The recognition of handwritten numerals has many applications in automatic identification and cognition. This research contains three experimented scenarios to recognize the handwritten English (i.e. Arabic) numerals. In the first scenario the bilinear interpolation of the image is used, while in the second scenario and after the bilinear interpolation is being applied, the Sobel operators are applied on the resulted interpolated image. In the third scenario which represents the last one, the effect of normalization of image dimensions is tested. 550 images of handwritten numerals were tested. Three types of tests were conducted for each scenario namely: trained-set test, not-trained-set test and comprehensive-set test. Depending on the results obtained from the comprehensive-set test, the best scenario is the second scenario of bilinear interpolation followed by Sobel operators which leads to excellent success rate reaches to 97.63%. | ||
| Keywords | ||
| Handwritten; Recognition; Numerals; Sobel; Pattern Recognition | ||
|
Statistics Article View: 131 PDF Download: 58 |
||