Title :
Gabor Descriptor based cancelable iris recognition method
Author :
Yang, Kai ; Du, Yingzi ; Zhou, Zhi ; Belcher, Craig
Author_Institution :
Dept. of Electr. & Comput. Eng., Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN, USA
Abstract :
For positive human identification, the iris has been shown to be a stable and reliable biometric. However, it is permanently bounded with an individual and its pattern is very hard to reissue when “stolen”. Thus, cancelable biometrics is a desirable solution to ensure the revocability and alternative of an iris template when compromised. The traditional cancelable biometrics approaches often compromise the recognition accuracy. In this paper, we propose a new cancelable iris recognition method using Gabor Descriptor, which can not only achieve “cancelability”, but also increase the recognition accuracy.
Keywords :
feature extraction; iris recognition; Gabor descriptor; biometrics; cancelable iris recognition method; positive human identification; Accuracy; Databases; Feature extraction; Gabor filters; Ice; Iris recognition; Pattern matching; cancelable biometrics; iris recognition; security;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5654355