Open AccessA Review of Iris Recognition Algorithms
Author(s) -
Abdulrahman Aminu Ghali,
Sapiee Jamel,
Kamaruddin Malik Mohamad,
Nasir Abubakar Yakub,
Mustafa Mat Deris
Publication year - 2017
Publication title -
joiv : international journal on informatics visualization
Language(s) - English
Resource type - Journals
eISSN - 2549-9904
pISSN - 2549-9610
DOI - 10.30630/joiv.1.4-2.62
Subject(s) - iris recognition , biometrics , normalization (sociology) , computer science , iris (biosensor) , hamming distance , artificial intelligence , feature extraction , access control , pattern recognition (psychology) , identification (biology) , segmentation , hough transform , gabor filter , computer vision , algorithm , image (mathematics) , computer security , botany , sociology , anthropology , biology
With the prominent needs for security and reliable mode of identification in biometric system. Iris recognition has become reliable method for personal identification nowadays. The system has been used for years in many commercial and government applications that allow access control in places such as office, laboratory, armoury, automated teller machines (ATMs), and border control in airport. The aim of the paper is to review iris recognition algorithms. Iris recognition system consists of four main stages which are segmentation, normalization, feature extraction and matching. Based on the findings, the Hough transform, rubber sheet model, wavelet, Gabor filter, and hamming distance are the most common used algorithms in iris recognition stages. This shows that, the algorithms have the potential and capability to enhanced iris recognition system.