Iris recognition methods of a blinked eye in nonideal condition

Iris accuracy stands highest by Comparing of all the biometrics. This paper proposed methods for iris edge detection, extraction of feature and matching whereas the important condition is that eye is partially closed or eye is blinked. Due to occlusion effect present in an iris image, most images are incapable to maintain false rejection and acceptance ratio. To solve this issue, various methods are highlighted in this paper. Canny operator is used in the segmentation for separate edges of iris from non-iris part. To detect iris properties, K-out-of-n and Euclidian distance methods are used. This is possible to assess the result by using database CASIA v2.0. The experimental work is performed and accuracy up to 95 % is achieved. Genuine images give out with good accuracy which can be used in security related applications. Hence system is executed for superior function of security, robustness and accuracy.