The interface of computer technologies and biology is having a huge impact on society. Human recognition research projects promises new life to many security-consulting firms and personal identification system manufacturers. Iris recognition is considered to be the most reliable biometric authentication system. Very few iris recognition algorithms were commercialized. The method proposed in this paper differed from the existing work in the iris segmentation and feature extraction phase. Digitized grayscale images of Chinese Academy of Sciences–Institute of Automation (CASIA) database were used for determining the performance of the proposed system. The circular iris and pupil of the eye image were segmented using morphological operators and Hough transform. The localized iris region was then normalized in to a rectangular block to account for imaging inconsistencies. This method provides accurate features as well as accurate signature of the human iris in a simple and fast way.
Track
MCSN: Multimedia Communication Systems and Networks
Conference
1st Mosharaka International Conference on Telecommunication Systems and Networks (MIC-Telecom 2013)
Congress
2013 Global Congress on Telecommunication Systems and Networks (GC-Telecom 2013), 20-22 December 2013, Barcelona, Spain
Pages
43-50
Topics
Digital Image Processing Digital Signal Processing
ISSN
2227-331X
DOI
BibTeX
@inproceedings{636Telecom2013,
title={BIOMETRIC SECURITY SYSTEM BASED ON HUMAN IRIS SIGNATURE},
author={Mohamed Mohamed, and Mohy Abou-Elsoud, and Marwa Eid},
booktitle={2013 Global Congress on Telecommunication Systems and Networks (GC-Telecom 2013)},
year={2013},
pages={43-50},
doi={}},
organization={Mosharaka for Research and Studies}
}
