Abstract
Security and Authentication of individuals is necessary for our daily lives especially in ATMs.But the security provided with ATM systems has some backdoors. It has been improved by using biometric verification techniques like face recognition, fingerprints, voice and other traits, comparing these existing traits, there is still need for considerable computer vision. Iris recognition is a particular type of biometric system that can be used to reliably identify a person uniquely by analyzing the patterns found in the iris. In the proposed system a new approach- IBIO(Iris recognition based BIOmetric verification) is provided for ATM banking system. Initially Iris images are collected as datasets and maintained in agent memory. Then the Iris and pupil are detected from the image, removing noises. The features of the iris were encoded by convolving the normalized iris region with 2D-Gabor filter. The Hamming distance was chosen as a matching metric, which gave the measure of how many bits disagreed between the templates of the iris. Experimental results shows that all the bank accounts can be accessed without using cards through this Iris recognition efficiently.
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