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The iris has been proposed as a reliable means of biometric identification. The importance of the iris as a unique identifier is predicated on the assumption that the iris is stable throughout a person's life. Also, the need for security systems going up, Iris recognition is emerging as one of the important methods of biometrics-based identification systems. Iris biometry has been proposed as a sound measure of personal identification. Iris biometry has been proposed as a sound measure of personal identification. This project basically explains comparison of the purposed algorithm with the existing algorithms for Iris recognition. In proposed method, image preprocessing is performed using Daugman's Integro-differential operator.
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