DocumentCode :
1776302
Title :
An improved algorithm for efficient iris based system
Author :
Singh, Neeraj Kumar
Author_Institution :
Dept. of ECE, SLIET, Sangrur, India
fYear :
2014
fDate :
10-11 July 2014
Firstpage :
604
Lastpage :
607
Abstract :
Nowadays, many applications require authentication to identify human before giving access to the resources. With new advances in technology, biometric technique of human authentication, which uses the human iris pattern, is well suited. Biometrics intends to identify a user by his/her physical and or/ behavioural characteristics. Among all biometric techniques, Iris recognition stands out as its error rates are lowest. Iris recognition includes eye imaging, localization, normalization, verification etc. This paper presents an overview of the fundamentals of biometric identification and tries to find out the effect of masking the normalized iris image on recognition rates.
Keywords :
error statistics; iris recognition; message authentication; behavioural characteristics; biometric identification; biometric techniques; biometrics; error rates; eye imaging; eye localization; eye normalization; eye verification; human authentication; human iris pattern; iris based system; iris recognition; normalized iris image; recognition rates; Authentication; Feature extraction; Gabor filters; Image edge detection; Iris; Iris recognition; Authentication; Biometrics; FAR; FRR; Iris;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
Type :
conf
DOI :
10.1109/ICCICCT.2014.6993033
Filename :
6993033
Link To Document :
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