Arash Taherian - Department of Electrical and Computer Engineering, Islamic Azad University, South Tehran Branch, Tehran
Mahdi Aliyari Sh. - Faculty of Electrical and Computer Engineering, K. N. Toosi University of Technology, Tehran

A biometric system provides automatic identification of an individual based on unique features or characteristics possessed by that person. Iris recognition is regarded as one of the most reliable and accurate biometric systems available. This paper, proposes an efficient iris recognition system that employs a novel method to localize the iris region in the eye image based on approximating the iris radius using the pupil characteristics and cumulative SUM based gray change analysis to extract features from the normalized iris template and also Fuzzy ARTMAP neural network to classify the iris codes. The results of simulations on a set of ۷۵۶ eye images illustrate that a fast, accurate and noise resistant personal identification system has been successfully designed. The proposed system achieved ۰ false acceptance rate using ۱۸۰۰-bit binary iris codes and recognized all authorized users with ۱۰۰% accuracy.

Fuzz y ARTMAP Neural Network, en, iris recognition, Segmentation