An automated method utilized for biometric identification which includes various mathematical patterns recognition methods in it known as the iris recognition method. The images of the irises of various individuals` eyes are studied in this technique. The complex random patterns present within this approach are single, constant and can as well be viewed from a particular distance. In the base paper, intensity transformation is applied with edge detection. The image processing techniques are applied which will extract the contrast, energy, entropy and heterogeneity of the detected iris has been calculated. To increase the accuracy of iris detection and reduce execution time, improvement in existing algorithms, feature extraction techniques are being proposed and also evaluate the ROC curve for performance analysis and achieve 0.81 area under curve.

Iris, localization, Image Processing

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