- 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
A New Method for Iris Segmentation and Feature Extraction in Spatial Domain | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 3, Volume 9, Issue 1, 2012, Pages 35-46 PDF (623.58 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2012.163669 | ||
| Authors | ||
| Dujan B. Taha; Shamil Q. Ibraheem | ||
| College of Computer Sciences and Mathematics University of Mosul | ||
| Abstract | ||
| In this paper, a new proposed method is developed, this method contains two algorithms, one for human iris recognition, the other is for extracting the features of the recognized iris. Many studies tried to extract the iris from images, most of those studies succeeded but after using very complex processing and filtering operations in addition to transforming the image to other domains (such as frequency domain) to achieve the required operations. The proposed method deduct those complexities operations to a minimum and requires only wavelet transform in a small part of the second algorithm, all other operations will be applied directly to the spatial domain. Experimental results shows the efficiency of the method as its being applied to the images of the Chinese Academy of Sciences – Institute of Automation “CASIA” iris database which contains a lot of deformations. Finally, Matlab R2010a (Ver. 7.10.0) was used to implement the algorithms presented in this paper because it facilitates handling images, arrays, and filters. | ||
| Keywords | ||
| Iris Segmentation; feature extraction; wavelet transform | ||
|
Statistics Article View: 277 PDF Download: 246 |
||