Iridology has developed more than 100 years, the iris can reflect a person''s state of health and systemic disease. In this paper we present a method to identify and discriminate the signature information in iris images. We use Canny edge detector to locate the partial edge of lacuna. We then use curve fitting method to identify the elliptic lacuna. The experimental results show that we can identify iris pattern automatically and efficiently. The proposed method had tested on 14 images, 5 of them contain lacuna area and 9 contain false lacuna area. We had achieved identification rate 85.2% and miss identification rate 29.4%. The goal of this paper is to detect the location of open or closed patterns in iris.
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