Whether in sensory or illumination applications, optoelectronic components are an essential
part of our everyday life. To actually include them in smartphones, cars or other products …

Iris segmentation and localization in non-cooperative environment is challenging due to
illumination variations, long distances, moving subjects and limited user cooperation, etc …

Accurate segmentation and parameterisation of the iris in eye images still remain a
significant challenge for achieving robust iris recognition, especially in off‐angle images …

Iris segmentation is an important step in the process of iris recognition. Iris images collected
under non‐cooperative conditions always contain various noise, which is a challenge for iris …

Globally, cataract is a common eye disease and one of the leading causes of blindness and
vision impairment. The traditional process of detecting cataracts involves eye examination …

This paper proposes an efficient iris localization method without using iris segmentation and
circle fitting. Conventional iris localization methods first extract iris regions by using semantic …

In practical iris applications, the obtained iris images are inevitably affected by noises
brought by uneven illumination, off-angle view, eyelids, and eyelashes etc. Such influences …

Iris recognition has been considered as one of the most accurate and reliable biometric
technologies, and it is widely used in security applications. Iris segmentation and iris …

While deep learning techniques are increasingly becoming a tool of choice for iris
segmentation, yet there is no comprehensive recognition framework dedicated for off-angle …

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 …