Author(s)

Ali Abdulhafidh Ibrahim¹, Thura Ali Khalaf², Bashar Mudhafar Ahmed³

¹College of Science, Al-Nahrain University, Baghdad, Iraq.
²College of Information Engineering, Al-Nahrain University, Baghdad, Iraq.
³College of Engineering, Al-Nahrain University, Baghdad, Iraq.

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.

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

Ibrahim, A. , Khalaf, T. and Ahmed, B. (2016) Design and Implementation of Iris Pattern Recognition Using Wireless Network System. Journal of Computer and Communications, 4, 15-21. doi: 10.4236/jcc.2016.47003.