Tian, Q.C., Qu, H., Zhang, L.F. and Zong, R.S. (2011) Personal Identity Recognition Approach Based on Iris Pattern. State of the Art in Biometrics, 27 July 2011, 163-178.

has been cited by the following article:

• TITLE: Design and Implementation of Iris Pattern Recognition Using Wireless Network System

  AUTHORS: Ali Abdulhafidh Ibrahim, Thura Ali Khalaf, Bashar Mudhafar Ahmed

  KEYWORDS: Iris Recognition, Genetic Algorithm, Principal Components Analysis, Wireless Network

  JOURNAL NAME: Journal of Computer and Communications, Vol.4 No.7, May 19, 2016

  ABSTRACT: The goal of this paper is to propose a fast and accurate iris pattern recognition system by using wireless network system. This paper consists of three parts: the first part includes two methods of the iris pattern recognition system: Libor Masek and genetic algorithms, the second part includes the compression-decompression process of iris image using Principal Component Analysis (PCA) as a data reduction method, in order to reduce image size, and the third part talks about wireless network. In this work, an iris image is transferred across wireless network which contains two independent-parallel lines connected to the central Personal Computer (PC) in order to be recognized at the end of each line, then the results of recognition are sent back to the central PC. The proposed genetic algorithm, which is used in this paper is more accurate than Masek algorithm and has low computational time and complexity, which makes this method better than Masek method in recognizing iris patterns.