For this purpose, Daugman uses Rubber Sheet Model (RSM). Thus, the annular iris region is unwrapped and the transformation from Cartesian to polar coordinates (r, θ) takes place. Here, ‘r’ lies in the range of [0, 1] and ‘’ θ lies in the range of [0, 2π]. Figure 1 shows the template for Daugman’s RSM. After the normalization phase, www.sci.utah.edu Normalization is performed using Daugman‘s rubber sheet model. Feature extraction has done by 2D Gabor wavelet filters. Extracted features represents in iris patterns described by iris code .To perform the recognition two iris codes are compared. Hamming distance is used to test the statistical independence between two iris codes. same spatial location. We will be using Daugman’s Rubber Sheet Model for normalization. 2.2.1 Daugman’s Rubber Sheet Model Daugman suggested normal Cartesian to polar transformation that maps each pixel in the iris area into a pair of polar coordinates (r, θ), where r and θ are on the intervals of [0 1] and [0 2π] . homogenous rubber sheet model accounts for pupil dilation, imaging distance and non-concentric pupil displacement, it does not compensate for rotational inconsistencies. In the Daugman system, rotation is accounted for during matching by shifting the iris templates in the direction until two iris templates are aligned. Figure-4 Normalised image.

a) Daugman’s rubber sheet model: The daugman’s rubber sheet model developed by John Daugman which remaps each point within the iris area to a pair of polar coordinates (r,θ) where r is the radius on the interval of [0,1] and θ is angle varying from 0 to 2π. Fig 8: Normalisation of concentric region to rectangular 50 X 1000 Oct 15, 2016 · Normalization is based on Daugman’s rubber sheet model in which two non-concentric circles are used to model the iris borders. The iris texture is then unwrapped with respect to these two circles. This transformation is explained in detail in Section 3. Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for performing the normalizing step. daugman rubber sheet in iris recognition Search and download daugman rubber sheet in iris recognition open source project / source codes from CodeForge.com International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-2, Issue-5, April 2013 56 As in Daugman‟s rubber sheet model, removing rotational inconsistencies is performed at the matching stage. Therefore, if the pupil dilates, the same points are picked up

Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for performing the normalizing step. With the need for security systems going up, Iris recognition is emerging as one of the important methods of biometrics-based identification systems. This project basically explains the Iris recognition system developed by John Daugman and attempts to implement this algorithm in Matlab, with a few modifications.