Among biometrics, iris and ocular recognition systems are the methods that recognize eye
features in an image. Such iris and ocular regions must have a certain image resolution to …

In this study, a framework to super resolve and recognise the long range captured iris polar
images is proposed. The proposed framework consists of best frame selection algorithm …

In recent years, the iris recognition system has been gaining increasing acceptance for
applications such as access control and smartphone security. When the images of the iris …

Uncooperative iris identification systems at a distance suffer from poor resolution of the
acquired iris images, which significantly degrades iris recognition performance. Super …

Iris recognition is a biometric technique which uses unique iris patterns between the pupil
and sclera. The advantage of iris recognition lies in high recognition accuracy; however, for …

Iris recognition is one of the non-contact biometric identification methods that are hygienic
and highly accurate. Iris recognition involves using iris images obtained by a near-infrared …

Iris recognition refers to the automated process of recognizing individuals based on their iris
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …

Even with trained operators and cooperative subjects, it is still possible to capture off-angle
iris images. Considering the recent demands for stand-off iris biometric systems and the …

Low image resolution will be a predominant factor in iris recognition systems as they evolve
towards more relaxed acquisition conditions. Here, we propose a super-resolution …

Accurate segmentation of the iris area in input images has a significant effect on the
accuracy of iris recognition and is a very important preprocessing step in the overall iris …