%0 Journal Article
	%A M. Vatsa and  R. Singh and  A. Noore
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 19, 2008
	%T Reducing the False Rejection Rate of Iris Recognition Using Textural and Topological Features
	%U https://publications.waset.org/pdf/5639
	%V 19
	%X This paper presents a novel iris recognition system
using 1D log polar Gabor wavelet and Euler numbers. 1D log polar
Gabor wavelet is used to extract the textural features, and Euler
numbers are used to extract topological features of the iris. The
proposed decision strategy uses these features to authenticate an
individual-s identity while maintaining a low false rejection rate. The
algorithm was tested on CASIA iris image database and found to
perform better than existing approaches with an overall accuracy of
99.93%.
	%P 2533 - 2539