Ahmadi, Neda and Akbarizadeh, Gholamreza (2015) Iris recognition system based on canny and LoG edge detection methods. Journal of Soft Computing and Decision Support Systems, 2(4), pp. 26-30. ISSN (online) 2289-8603

Abstract

Iris recognition has obtained an incredible consideration in a variety of fields such as border areas, industrial areas, security susceptible areas and so on. In the eye, sclera and iris are utilized since the prior inputs employing to identify the eye with various systems such as segmentation incorporating with various versions. The internal edge in the eye isn't an ordinary circle that might produce difficulty in exact recognition. The image has a smaller amount texture after that it causes iris legacy in segmentation step. In order to develop a good iris authentication algorithm for individual identification, the presented paper recognize iris images by utilizing two edge detection approaches like Canny and Laplacian of Gaussian (LoG) to reduce the noisy data and detect the edges. The experimental results demonstrate that Canny edge detector can better detect the edges than LoG.

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