The idea of using the distinct spatial distribution of patterns in the human iris for person authentication is now a widely developing technology. Current systems rely on a set of basic assumptions in order to improve the accuracy and running time of the recognition process. The advent of a robust system implies a viable solution to a number of general problems. This paper focuses on a common y...

The aim of this paper is improving the iris segmentation with the Contourlet transform. At first iris segmentation performed by canny edge detector and Hough Transform. By this approach some images don’t segmented properly, so we want to find a way to correct the image segmentation failures. Before applying edge detector, Contourlet transform applied for image denoising. By this approach, %100 ...

People upload daily a huge number of portrait face pictures on websites and social media, which can be processed using biometric systems based the characteristics to perform an automatic recognition individuals. However, performance approaches limited by negative factors as aging, occlusions, rotations, uncontrolled expressions. Nevertheless, constantly increasing quality resolution uploaded me...

In this paper we will look at the detection and segmentation of the iris and its influence on the overall performance of the iris-biometric tool chain. We will examine whether the segmentation accuracy, based on conformance with a ground truth, can serve as a predictor for the overall performance of the iris-biometric tool chain. That is: If the segmentation accuracy is improved will this alway...

by Tanya H. Peters Every year we see a growing use of iris recognition, with it now utilized as a means of border control in a number of countries, including the United Kingdom, Canada, and the United Arab Emirates. As this technology becomes more common and more relied upon, the importance of algorithms that can identify subjects in a robust, consistent, and accurate manner becomes all-importa...

In this paper, we describe a new approach of employing Nelder-Mead optimization (NMO) simplex method in Iris image segmentation. In this paper we are using modified way of Libor masek method. In modified Libor masek method mainly in preprocessing phase in segmentation we are using Nelder-Mead search method also called as simplex method for calculation of center coordinates, radius and threshold...

Iris recognition is a well-known biometric technique. John Daugman has proposed a method for iris recognition, which is divided into four steps: segmentation, normalization, feature extraction and matching. In this paper, we evaluate, modify and extend John Daugman’s method. We study the images of CASIA and UBIRIS databases to establish some modifications and extensions on Daugman’s algorithm. ...