DocumentCode :
2922065
Title :
A review of iris recognition algorithms
Author :
Ng, Richard Yew Fatt ; Tay, Ng Yong Haur ; Mok, Kai Ming
Author_Institution :
Computer Vision and Intelligent Systems (CVIS) Group, Universiti Tunku Abdul Rahman, Malaysia
Volume :
2
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
7
Abstract :
Iris recognition has become a popular research in recent years. Due to its reliability and nearly perfect recognition rates, iris recognition is used in high security areas. Among its applications are border control in airports and harbors, access control in laboratories and factories, identification for Automatic Teller Machines (ATMs) and restricted access to police evidence rooms. This paper provides a review of major iris recognition researches. There are three main stages in iris recognition system: image preprocessing, feature extraction and template matching. A literature review of the most prominent algorithms implemented in each stage is presented.
Keywords :
Active contours; Biometrics; Eyelids; Feature extraction; Image analysis; Image edge detection; Image enhancement; Image resolution; Iris recognition; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4631656
Filename :
4631656
Link To Document :
بازگشت