Deep learning is an effective data mining method that is used to analyze complex, and large
quantities of data accurately and efficiently. In the last few years, the world has gone through …

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 is one of the most well-known biometrics; it is a nonintrusive and contactless
authentication technique with high accuracy, enhanced security, and unique distinctiveness …

The use of the iris and periocular region as biometric traits has been extensively
investigated, mainly due to the singularity of the iris features and the use of the periocular …

The main objective of this comparative study is to present a comprehensive review of
literature on one of the biometric identification systems namely the iris recognition system …

In recent years, electronic glasses, including augmented reality (AR), virtual reality (VR), and
mixed reality (MR) devices that connect the natural world and virtual world seamlessly, have …

Deep learning has been used and demonstrated intensively as a vital technique in data
mining that can accurately and effectively evaluate enormous amounts of data for various …

Even with trained operators and cooperative subjects, it is still possible to capture off-angle
iris images. Considering the recent demands for stand-off iris biometric systems and the …

Identification of subjects using biometric features such as the iris has gained popularity over
the years as a reliable and secure method for authentication. However, most iris recognition …

Iris recognition is a widely used biometric technology that has high accuracy and reliability in
well-controlled environments. However, the recognition accuracy can significantly degrade …