Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

Pupil detection in a human eyeimage or video plays a key role in many applications such as
eye-tracking, diabetic retinopathy screening, smart homes, iris recognition, etc. Literature …

The pupil detection algorithm plays a key role in the non-contact tono-meter, auto ref-
keratometry and optical coherence tomography in medical ophthalmology diagnostic …

A fast and accurate iris recognition system is presented for noisy iris images, mainly the
noises due to eye occlusion and from specular reflection. The proposed recognition system …

Identification of a person depends on the proper extraction of the iris region. Segmentation,
being the first step in iris analysis, constitutes the most important phase in iris localization …

Contemporary surveys focus on the ideal iris biometric systems, which are generally used
for overt applications: eg, border crossing control. Notably, these systems perform well for …

In this research, the concept of class-specific dictionaries is proposed for iris recognition.
Essentially, the query image is represented as a linear combination of training images from …

The detection of vision problems in early childhood can prevent neurodevelopmental
disorders such as amblyopia. However, accurate clinical assessment of visual function in …

A categorical study on iris localization, its challenges and techniques is carried out here.
This survey comprehends the historical evolution and present state-of-the-art in iris …

Circle detection is a crucial problem in computer vision and pattern recognition. Improving
the accuracy and efficiency of circle detectors has important scientific significance and …