JISE


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Journal of Information Science and Engineering, Vol. 35 No. 2, pp. 275-290


Iris Recognition System Based on Fractal Dimensions Using Improved Box Counting


SAVIZ EBRAHIMI1, MOHAMMAD BAGHER TAVAKOLI1,+
AND FARBOD SETOUDEH2
1Department of Electrical Engineering
Islamic Azad University
Imam Khomeini Blvd, Arak, 38361-1-9131 Iran
E-mail: {s-ebrahimi92; m-tavakoli+}@iau-arak.ac.ir

2Department of Electrical Engineering
Arak University of Technology
University Ave., Arak, 38131-4-1167 Iran
E-mail: F.setoudeh@arakut.ac.ir


In this paper, a new approach based on an improved fractal dimensions (FDs) for an iris recognition system is proposed. Improved FDs, based on a differential box-counting (DBC) method were extracted from horizontal coefficients, vertical coefficients, and diagonal coefficients in different levels, by discrete wavelet transform. The CASIA iris images database was used to evaluate the algorithm; the simulation results are very promising.


Keywords: iris recognition, hough transform, fractal dimension, differential box-counting, Coif3 wavelets

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