Iris became an important biometric in the last decade,
due to its uniqueness and richness of features. In this
paper, a novel super-resolution and image registration
technique for visual (non-infra-red) iris images is
presented.
In the proposed technique a full face, 3 second long,
90 frames, visual video is captured with a digital
camera located 3 feet away from each subject. Iris
images are segmented from the full face image. A
cross correlation model is applied for the registration/
alignment of full gray scale iris images. A high
resolution iris image, that is 4 times higher in terms of
size and resolution, is constructed from every 9 low
resolution images. This process of building a high
resolution image is based on an auto_regressive
signature model between consecutive low resolution
images in filling the sub pixels in the constructed high
resolution image. Then this process is iterated until a
16 times higher resolution iris image is constructed.
Illustrative images are shown that prove the
effectiveness of the proposed technique.