Physical ageing is an important issue for practical biometrics, since it is known that the
associated physiological changes can impair performance for most modalities …

Remote human identification using iris biometrics requires the development of automated
algorithm of the robust segmentation of iris region pixels from visible face images. This …

Continuous efforts have been made to process degraded iris images for enhancement of the
iris recognition performance in unconstrained situations. Recently, many researchers have …

Computer vision tasks prefer the images focused at the related objects for a better
performance, which requests a Auto-ReFocusing (ARF) function for using light field …

In this work, we propose a robust iris segmentation method for non-ideal ocular images,
referred to as Polar Spline RANSAC, which approximates the iris shape as a closed curve …

The ability to measure a person's physiological parameters in a contact less fashion (ie,
without attaching electrodes to the skin) has tremendous potential in a number of …

Iris segmentation is a critical step in the iris recognition system. Since the quality of iris
database taken under different camera sensors varies greatly, thus most existing iris …

We present a new iris segmentation algorithm based on the Generalized Structure Tensor
(GST), which also includes an eyelid detection step. It is compared with traditional …

Iris segmentation using active contours approaches is receiving increasing attention. In this
paper, a self-ruling active contour approach based on the optical correlation algorithm is …

Iris recognition is well developed and works well for optimal or near-optimal iris images.
Dealing with sub-optimal images remains a challenge. Resolution, wavelength, occlusion …