Iris recognition is a biometric identification method that uses unique patterns in the iris, the colored part of the eye surrounding the pupil, to identify and authenticate individuals. It works by capturing a high-contrast photograph of the iris using near-infrared light, which highlights the intricate structures of the iris. Advanced algorithms then analyze these patterns, converting them into a digital template. When an individual's iris is scanned, the system compares the captured iris pattern with stored templates to find a match, thus confirming their identity. This method is highly secure and accurate due to the uniqueness of iris patterns across individuals, including identical twins..