Abstract
The authenticity and reliability of iris-based biometric identification systems for large populations are well-known. “Iris recognition” aims to identify persons using the visible intricate structure of minute characteristics such as furrows, freckles, crypts, and coronas that exist on a thin circular diaphragm lying between the cornea and the lens, called the “iris”. Iris recognition-based biometric identification technique has attained significant interests mainly due to its noninvasive characteristics and the lifetime permanence of iris patterns. Iris-based identity verification system is found to be commercially deployed in many airports for border control. Recently, the signature of iris is recommended to be embedded in smart e-passport or national ID cards [1].
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Rahman, S.M.M., Howlader, T., Hatzinakos, D. (2019). Iris Recognition. In: Orthogonal Image Moments for Human-Centric Visual Pattern Recognition. Cognitive Intelligence and Robotics. Springer, Singapore. https://doi.org/10.1007/978-981-32-9945-0_6
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