Abstract
Iris recognition is the most accurate form of biometric identification. The robustness of iris recognition comes from the unique characteristics of the human iris texture as it is stable over the human life, and the environmental effects cannot easily alter its shape. In most iris recognition systems, ideal image acquisition conditions are assumed. These conditions include a near infrared (NIR) light source to reveal the clear iris texture as well as look and stare constraints and close distance from the capturing device. However, recent advances on iris recognition have proposed different methods to process iris images captured in unconstrained environments. These environments include a visible wavelength (VW) light source, on the move and over distance from the capturing device. This research states the most used iris databases and describes their imaging framework along with all characteristics of iris images in each database.
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