- 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
New Architectures and Algorithm for Optical Pattern Recognition using Joint Transform Correlation Technique | ||
| Iraqi Journal for Electrical And Electronic Engineering | ||
| Article 1, Volume 3, Issue 1, 2007, Pages 33-50 PDF (0 K) | ||
| DOI: 10.33762/eeej.2007.55274 | ||
| Authors | ||
| R. S. Fyath; Kh. N. Darraj | ||
| Abstract | ||
| Recently, there is increasing interest in using joint transform correlation (JTC) technique for optical pattern recognition. In this technique, the target and reference images are jointed together in the input plane and no matched filter is required. In this paper, the JTC is investigated using simulation technique. A new discrimination decision algorithm is proposed to recognize the correlation output for different object shapes (dissimilar shapes). Also, new architectures are proposed to overcome the main problems of the conventional JTC. | ||
|
Statistics Article View: 118 PDF Download: 41 |
||