Gabor Descriptor based cancelable iris recognition method
Kai Yang, Yingzi Du, Zhi Zhou, Craig Belcher · 2010
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.