Human Iris Segmentation for Iris Recognition in Unconstrained Environments
This paper presents a human iris recognition system in unconstrained environments in which an effective method is proposed for localization of iris inner and outer boundaries. In this method, after pre-processing stage, circular Hough transform was utilized for localizing circular area of iris inner and outer boundaries. Also, through applying linear Hough transform, localization of boundaries between upper and lower eyelids occluding iris has been performed. In comparison with available iris segmentation methods, not only has the proposed method a relatively higher precision, but also compares with popular available methods in terms of processing time. Experimental results on images available in CASIA database show that the proposed method has an accuracy rate of 97.50%.
Keywords: Biometric, Hough Transform, Segmentation, Normalization, Iris Tissue Encoding, and Matching.
Download Full-Text
ABOUT THE AUTHORS
Mahmoud Mahlouji
Mahmoud Mahlouji received the B.S. degree in telecommunications engineering from Sharif University of Technology, Tehran, Iran, in 1990, the M.Sc. degree in electronics engineering from Sharif University of Technology, Tehran, Iran, in 1993, and the Ph.D. degree in telecommunications engineering from Science and Research Branch, Islamic Azad University, Tehran, Iran, in 2008. At present he is an assistant professor of the Electrical and Computer Engineering Department, Kashan Branch, Islamic Azad University, Kashan, Iran. His current interests are in image processing, pattern recognition, neural networks, computer vision, and iris recognition.
Ali Noruzi
Ali noruzi received the B.S. degree in computer engineering from Neragh Branch, Islamic Azad University, Neragh, Iran, in 2007, and the M.Sc. degree in computer architecture from Dezful Branch, Islamic Azad University, Dezful, Iran, in 2010. His research interests include image processing, and iris recognition.
Mahmoud Mahlouji
Mahmoud Mahlouji received the B.S. degree in telecommunications engineering from Sharif University of Technology, Tehran, Iran, in 1990, the M.Sc. degree in electronics engineering from Sharif University of Technology, Tehran, Iran, in 1993, and the Ph.D. degree in telecommunications engineering from Science and Research Branch, Islamic Azad University, Tehran, Iran, in 2008. At present he is an assistant professor of the Electrical and Computer Engineering Department, Kashan Branch, Islamic Azad University, Kashan, Iran. His current interests are in image processing, pattern recognition, neural networks, computer vision, and iris recognition.
Ali Noruzi
Ali noruzi received the B.S. degree in computer engineering from Neragh Branch, Islamic Azad University, Neragh, Iran, in 2007, and the M.Sc. degree in computer architecture from Dezful Branch, Islamic Azad University, Dezful, Iran, in 2010. His research interests include image processing, and iris recognition.
