- 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
Coins Recognition Using Complex Moments and Feed Forward Neural Network | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 21, Issue 6, 2010, Pages 552-566 | ||
| Author | ||
| Loay E. George | ||
| Abstract | ||
| In this research work, the set of complex moments is used as a feature vector to represent the contents of some coins cutouts. The extracted moment vector is fed to a trained feed forward neural network for recognition purpose. The feed back propagation algorithm was used to train the network. To improve the recognition performance some image processing stages (like, region of interest extraction, contrast enhancement) were applied before the determination of complex moments. The test results indicated that the use of complex moments leads to detection rate 71.9%, with 17.6% false alarms. K | ||
|
Statistics Article View: 103 PDF Download: 20 |
||