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ICGST

Issue(6)

GVIP

A Novel Iris Recognition System Using Morphological Edge Detector and Wavelet Phase Features
 
Ahmad Poursaberi and Babak N. Araabi

Control and Intelligent Processing Center of Excellence,
Electrical and Computer Engineering Department, University
of Tehran, Tehran, Iran

and

School of Cognitive Sciences, Institute for Studies on Theoretical Physics and Mathematics, Tehran, Iran

 

Abstract:
Biometric identification technology has been associated generally with very costly top secure applications. In this paper, we suggest a new approach to iris recognition system. Morphological operators are used for iris edge detection. Simplicity and quickness of proposed edge detection method which is coping with binary images is considerable. Binary code representation via phase of Daubechies wavelet is gotten from each iris image and a minimum Euclidean distance classifier is applied for matching process. Experimental results on CUHK iris images database which has 250 iris images from 36 persons, shows the reliability and efficiency of the proposed algorithm.
 
Keywords: Biometric identification, Iris recognition, morphology, Wavelet, Image processing
 
Biographies:
 

Ahmad Poursaberi received the B.Sc. degree in Electrical engineering from K.N.Toosi University of Technology, Tehran, Iran in 2002, and the M.S degree in Control engineering from University of Tehran, Iran, in 2005. His research interests include biometrics, image processing, pattern recognition, control systems, machine vision and intelligent processing.

 

 

Babak N. Araabi received the B.S. degree from Sharif University of Technology, Tehran, Iran, the M.S. degree from University of Tehran, Iran, and the Ph.D. degree from Texas A&M University, TX, USA, in 1992, 1996, and 2001, respectively, all in electrical engineering. In January 2002, he joined the Department of Electrical and Computer Engineering, University of Tehran, as an assistant professor. He is also a research scientist at School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran. Dr. Araabi is the author or co-author of more than 60 international journal and conference publications in his research areas, which include pattern recognition, machine vision, decision making under uncertainty, neuro-fuzzy systems, cooperative reinforcement learning in multi agent systems, predictive control, fault diagnosis, prediction and system identification.

BibTex:

@ARTICLE{P1150517004,

AUTHOR = {Ahmad Poursaberi, Babak Araabi},

TITLE = {A Novel Iris Recognition System Using Morphological Edge Detector and Wavelet Phase Features},

JOURNAL = {ICGST International Journal on Graphics, Vision and Image Processing},

YEAR = {2005},

MONTH = {June},

VOLUME = {5},

ISSUE = {6},

PAGES = {9--15}

}

( Full paper 509 KB)