An efficient algorithm in extracting human iris Morphological features

• Published in: 2009 International Conference on Networking and Media Convergence pp. 146 - 150
• Main Authors: Mohamed, M.A., Abou-Elsoud, M.E.A., Eid, M.M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2009
• Subjects: Authentication; Biology computing; Biometrics; Commercialization; Computer interfaces; Feature extraction; Humans; Image segmentation; Iris recognition; Manufacturing
• ISBN: 9781424437764; 1424437768
• DOI: 10.1109/ICNM.2009.4907207

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 simple and fast iris analysis methods.