A Novel Iris Recognition System

Iris recognition as an emerging biometric recognition approach and itpsilas becoming a very active topic in both research and practical applications. The pattern of the human iris differs from person to person, even between monocular twins. This paper proposes a modified iris localization method and normalization method. In the iris localization after invert the iris image edges are detected by using the Canny edge detection. The average of the edge points as taken as coarse center of the pupil. Using coarse center of pupil, Circular Hough Transform method is applied to determine the location of the iris boundaries. The normalization is used for converting the circular iris into rectangular form with fixed dimensions. The proposed method is for non-concentric iris. In this paper 2D Log-Gabor Filters are used for feature extraction and hamming distance is used for matching. The experimental result shows the proposed method has an encouraging performance.