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This paper introduces a computationally efficient iris segmentation method using the Grow-Cut algorithm, designed for iris images captured from a distance under less controlled conditions. The proposed approach demonstrates significant improvements in segmentation accuracy, achieving average reductions in error of 34.8%, 31.5%, and 31.4% across three publicly available databases compared to existing methods. Additionally, it offers reduced computational complexity and eliminates the need for rigorous traini

Author

Siddesh Shivarudraswamy

Language

EN