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Segmentation Approach for a Noisy Iris Images Based on Hybrid Techniques | ||
| Engineering and Technology Journal | ||
| Article 11, Volume 38, 11A, 2020, Pages 1684-1691 PDF (1.03 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.30684/etj.v38i11A.450 | ||
| Authors | ||
| Hala J. Abdelwahed* ; Ashwaq T. Hashim; Ahmed M. Hasan | ||
| Control and Systems Eng. Dept., University of Technology-Iraq, Baghdad, Iraq | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Biometrics; Iris localization; Hough transform; Daugman‟s algorithm; noisy data set | ||
| References | ||
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