Iris Template Localization over Internet of Things (IoT) | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 1, Volume 28, Issue 1, January 2019, Page 1-18 PDF (873.73 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2019.62662 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Ramadan Gad* 1; Ayman EL-SAYED 2; Nawal EL-Fishawy3; Mohamed Zorkany4
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| 1Computer Science and Engineering Dept., Faculty of Electronic Engineering, Menoufia University, Egypt. | ||||
| 2Computer science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt. | ||||
| 3Computer Science and Engineering Dept., Faculty of Electronic Engineering, Menoufia University, Egypt | ||||
| 4Electronic and Communication Engineering Dept., National Telecommunication Institute, Egypt | ||||
| Abstract | ||||
| Internet of Things (IoT) is growing vastly and survive technology. So; it needs authentication solutions (as iris recognition) to bring safety, and convenience in data and network sharing in the internet of things era. Iris segmentation is most critical stage in the iris recognition system. Some challenges to localize iris such as occlusion by eyelids, eyelashes, and corneal or specular reflection. This paper proposes, a modified algorithm based on masking technique; to localize iris. It solves the limitation of the iris data loss and inconsistencies factors, for capturing conditions and different resolution images. This method gives satisfactory results in factors of accuracy and execution time to be used over IoT. The segmentation success rate is more than 99.545(%), and execution time in worst case 0.758 (sec).The obtained results improve the efficiency of the proposed iris recognition method and improve IoT security and authentication. | ||||
| Keywords | ||||
| Internet of Things (IoT); Iris segmentation; Iris localization; Masking technique | ||||
| References | ||||
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