Iris Feature Extraction of a blinked eye

With compare to biometric features, iris recognition has high recognition accuracy. This paper proposed different methods for iris recognition in which condition is partial eye closed or an eye is blinked. All the steps are explained in detail to achieve highest accuracy rate in the recognition system. Most of the iris recognition systems are incapable of providing low false rejection due to wide variety of artifacts. To address this issue, various different methods suitable to work properly are highlighted in this paper. Security related application worth require highest security in genuine images of an iris. This can be achieved by following methods. CASIA, UBIRIS and MMU database can be used for these iris images in the experiment to test the data. In this system implementation high confident images are required to achieve accurate authentic results. Likewise, proposed methods are superior in terms of security, accuracy and consistency.