e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : Iris Recognition Based On Its Texture Patterns
Authors : M. Ezhilarasan, R. Jacthish, K.S. Ganabathy Subramanian, R. Umapathy
Keywords : Genetic Algorithm; Product Sequence Assembly; Design for Assembly; Artificial Intelligence
Issue Date : December 2010
Abstract :
A biometric system uniquely identifies and authenticates humans based on their physical or behavioural features. Iris recognition is one of the most reliable methods of biometric authentication that recognizes a person by pattern of the iris. No two irises are alike -not between identical twins, or even between the left eye and the right eye of the same person. The existing works on iris segmentation have been done considering the entire region of the iris. But the level of Iris texture detail typically degrades as one move away from the pupil. Hence considering the inner multi bands of iris will increase the accuracy level and also saves time.
Page(s) : 3071-3074
ISSN : 0975–3397
Source : Vol. 2, Issue.9

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