Recognition Technique for ATM based on IRIS Technology

–Iris recognition system has proven its capability in implementing reliable biometric security protocols in various high risk sectors like aviation, border patrol and defence. The banking and financial sector has to adoptthis system because of its robustness and the advantages it provides in cutting costs and making processes more streamlined. The technology started out as a novelty however due exigencies in the banking sector characterized by decreasing profits it became a necessity. The use of Biometric ATM’s based on iris recognition technology has gone a long way in improving customer service by providing a safe and paperless banking environment. A biometric system provides automatic recognition of an individual based on some sort of unique feature or characteristic possessed by the individual. Biometrics gained lot of attention over recent years as a way to identify individuals. As technology and services have developed in the modern world, human activities and transactions have proliferated in which rapid and reliable personal identification is required. The developments in science and technology have made it possible to use biometrics in applications where it is required to establish or confirm the identity of individuals.The use of biometric indicia for identification purposes requires that a particular biometric factor be unique for each individual that it can be readily measured, and that it is invariant over time. Human iris on the other hand as an internal organ of the eye and as well protected from the external environment, yet it is easily visible from within one meter of distance makes it a perfect biometric for an identification system with the ease of speed, reliability and automation. The iris is a thin circular diaphragm, which lies between the cornea and the lens of the human eye. The iris is perforated close to its centre by a circular aperture known as the pupil. The function of the iris is to control the amount of light entering through the pupil, and this is done by the sphincter and the dilator muscles, which adjust the size of the pupil. The iris recognition systems have recently shown very high accuracies in verifying an individual’s identity. A complete iris recognition system can be split into four stages: Image acquisition, segmentation, encoding and matching. The results of this system are very efficient for ATM transactions. Keywords—Biometrics,IRIS, ATM, Segmentation, Feature extraction, IRIS localization,Normalization.