Mohammad Javad Dehghani

Work place: Department of Telecommunication Engineering, Shiraz University of Technology, Shiraz, Iran



Research Interests: Computer Graphics and Visualization, Image Processing, Data Structures and Algorithms


Mohammad Javad Dehghani received the BS and MS degrees from Isfahan University of Technology, Isfahan, Iran, in 1988 and 1992 respectively, the Ph.D. degree from IIT Madras in 2003, all in communication engineering. In 1993, he joined the faculty of Control Department, School of Electronic Technology, Shiraz University, Shiraz, Iran. Since 2003 he has been on the faculty of the Department of Telecommunication Engineering, Shiraz University of Technology, Shiraz, Iran. His activities have included Image signal processing, digital filter structures, filter banks, wavelet based signal processing and wireless communication. He is a Member of the IEEE.

Author Articles
Two Approaches Based on Genetic Algorithm to Generate Short Iris Codes

By Hamed Ghodrati Mohammad Javad Dehghani Habibolah Danyali

DOI:, Pub. Date: 8 Jul. 2012

This paper has the following contributions in iris recognition compass: first, novel parameters selection for Gabor filters to extract the iris features. Second, due to iris textures randomness and assigning the Gabor parameters by pre-knowledgeable values, traditionally, a large Gabor filter bank has been used to prevent losing the discriminative information. It leads to perform extracting and matching the features heavily and on the other hand, the generated feature vectors are lengthened as required for extra storage space. We have proposed and compared two different approaches based on Genetic Algorithm to reduce the system complexity: optimizing the Gabor parameters and feature selection. Third, proposing a novel encoding strategy based on the texture variations to generate compact iris codes. The experimental results show that generated iris codes by optimizing the Gabor parameters approach is more distinctive and compact than ones based on feature selection approach.

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