Segmentation in iris biometrics deals with the localisation of inner and outer boundaries of
the iris and isolation of the region of interest (ROI) from the input eye image. The isolated …

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 …

In this paper, we proposed and validated a novel and accurate pipeline for automatically
segmenting flaky corneal ulcer areas from fluorescein staining images. The ulcer area was …

Subject matching performance in iris biometrics is contingent upon fast, high-quality iris
segmentation. In many cases, iris biometrics acquisition equipment takes a number of …

Kernel correlation filters (KCF) demonstrate significant potential in visual object tracking by
employing robust descriptors. Proper selection of color and texture features can provide …

In most iris recognition systems the texture of the iris image is either the result of the
interaction between the iris and Near Infrared (NIR) light, or between the iris pigmentation …

Emerging standoff iris recognition systems operate under unconstrained conditions and the
iris images captured by these systems are more subject to off-angle acquisition distortions …

Despite the significant advances in iris segmentation, accomplishing accurate iris
segmentation in non-cooperative environment remains a grand challenge. In this paper, we …

People struggle every day with authentication to access a protected service or location, or
simply aimed at protecting one's own devices. This spurs a growing demand for self-handled …

Iris Segmentation, an initial and vital stage of the iris recognition stage which directly affects
the recognition accuracy. Especially, the non-cooperative environment that leads to contain …