Iris Based Authentication System

Abstract

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on images of the irises of an individual's eyes, whose complex random patterns are unique. In this work it is proposed to implement an iris recognition system, where circular Hough transform and Canny edge detection is used to segment the iris region. A template of the detected region is created using Daugman algorithm and template matching for recognition is based on Hamming distance. The results shows that the proposed method is efficient for iris based biometric recognition.