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Iris segmentation is an important step in iris biometrics and becomes more challenging when iris images are noisy. Iris segmentation process localizes iris in the iris image and detects eyelids also. The proposed method localizes iris in noisy frontal view iris images captured under near infrared (NIR) illumination and having noise issues such as lighting and specular reflections, eyeglasses, low...
Iris localization is an important step for high accuracy iris recognition systems and it becomes difficult for iris images captured in unconstrained environments. The proposed method localizes irises in unconstrained infrared iris images having non-ideal issues such as severe reflections, eyeglasses, low contrast, low illumination and occlusions by eyebrow hair, eyelids and eyelashes. In the proposed...
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