Title :
Template Matching Techniques for Iris Recognition System
Author :
Tania, U.T. ; Motakabber, S.M.A. ; Ibrahimy, M.I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
Abstract :
Security and authentication is one of the major parts of our daily life. Iris is one of the most reliable forms of identification object in the human body. To develop an iris authentication algorithm for personal identification, this paper describe techniques for matching two bitwise biometric template. The experimental result shows that the developed algorithm has good performance to check whether two templates are generated from same iris or not. The algorithm performs perfect recognition on a set of 94 eye images courtesy of The Chinese Academy of Sciences -- Institute of Automation (CASIA). Algorithm showed 0% false accepted and 4% false rejection rate.
Keywords :
image matching; iris recognition; bitwise biometric template; false rejection rate; iris authentication algorithm; iris recognition system; personal identification; template matching; Abstracts; Biomedical imaging; Computers; Histograms; Image processing; Iris recognition; biometric identification; image processing; iris; iris recognition; template matching;
Conference_Titel :
Computer and Communication Engineering (ICCCE), 2014 International Conference on
Conference_Location :
Kuala Lumpur
DOI :
10.1109/ICCCE.2014.16
