Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Hough transform

Segmentation Approach for a Noisy Iris Images Based on Hybrid Techniques

Hala J. Abdelwahed; Ashwaq T. Hashim; Ahmed M. Hasan

Engineering and Technology Journal, 2020, Volume 38, Issue 11, Pages 1684-1691
DOI: 10.30684/etj.v38i11A.450

Iris recognition indicates the procedure of recognizing humans based on their both left and right iris patterns. Nowadays there is rapid progress in realizing an old dream of developing a user-friendly recognition system. Most of the new projects became a nightmare of security of the system. The prosperity of iris recognition aside from its attractive physical characteristics is led to developing an efficient feature extractor to attain the required objective of recognition. Fingerprint, facial, and iris biometric techniques are developed widely for identifying processing most boarded management points, access control, and military checkpoints. Hybridization between Daugman’s Integro Differential Operator (IDO) with edge base methods was realized through taking the advantages of the good qualities of both methods so as to enhance the precision and reduce the required time. The proposed hybrid recognition system is very reliable and accurate. UBIRIS version 1 dataset was utilized in the conducted simulation which indicates the distinctions of the hybrid method in providing good performance and accuracy with reducing the time consuming of iris localization by approximately 99% compared with IDO and edge based methods.

Line Detection Using Radon Transform

H. H. Abbas; Hussein Ali Hussein

Engineering and Technology Journal, 2010, Volume 28, Issue 6, Pages 1267-1280

To extract features from digital images, it is useful to be able to find simple
shapes (straight lines, circles, ellipses, etc.).
In order to achieve this goal, one can be able to detect a group of pixels that are on
a straight line or a smooth curve. That is what a Hough transform is supposed to
Since the Hough transform is a special case of Radon transform then line detection
process is accomplished using Radon transform.
In this paper, software for line detection using Radon transform has been designed
and implemented. Then the implemented software is tested under many conditions
and circumstances, the results are discussed, and many points are concluded from
the results.