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.