October 17, 2021
Farbod Setoudeh

Farbod Setoudeh

Degree: Assistant professor
Address:
Education: Ph.D in electrical engineering
Phone: 33400222
Faculty: Department Of Electrical Engineering

Research

Title Iris recognition system based on fractal dimensions using improved box counting
Type Article
Keywords
fractal dimensions using improved box counting
Journal JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
DOI
Researchers saviz ebrahimi (First researcher) , Mohammad Bagher Tavakoli (Second researcher) , Farbod Setoudeh (Third researcher)

Abstract

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.