Iris Template Localization over Internet of Things (IoT)

Document Type : Original Article

Authors

1 Computer Science and Engineering Dept., Faculty of Electronic Engineering, Menoufia University, Egypt.

2 Computer science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt.

3 Computer Science and Engineering Dept., Faculty of Electronic Engineering, Menoufia University, Egypt

4 Electronic 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

References

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