Iris Based Biometric Recognition System using Hamming Distance

In today’s world, a reliable person identification system is required to control the access in secure areas. Conventional methods of recognition by using passwords are not reliable, because they may be forgotten, stolen, disclosable, or transferable. An iris based recognition system provides identification of an individual based on a unique feature or characteristic possessed by that individual. Human iris has large number of features such as arching, ligaments, furrows, ridges, crypts, rings, corona and zigzag collarette. The average diameter of the iris is 12 mm, and the pupil size can vary from 10% to 80% of the iris diameter. Iris recognition is considered as the most reliable and accurate biometric recognition system. This research paper proposed the use of iris based biometric recognition system using HAMMING Distance method as feature matching technique. We take iris image of twelve different people. For determining the iris based recognition system performance the standard database of digitized grayscale eye images were used.