The Metaverse offers a second world beyond reality, where boundaries are non-existent,
and possibilities are endless through engagement and immersive experiences using the …

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

A data augmentation methodology is presented and applied to generate a large dataset of
off-axis iris regions and train a low-complexity deep neural network. Although of low …

Extended Reality (XR) is increasingly gaining momentum in industries such as retail, health,
and education. To protect users' personal data, establishing a secure authentication system …

The field of forensic science is experiencing significant growth, largely driven by the
increasing integration of holographic and immersive technologies, along with their …

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 …

In the modern era of computing, the iris-based biometric systems are gaining significant
attention for secured and automatic human authentication. However, past decades have …

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 …

Most of the classical iris recognition systems require cooperation from users and assume
ideal conditions during iris image acquisition. In uncooperative and unconstrained …

In the domain of Extended Reality (XR), particularly Virtual Reality (VR), extensive research
has been devoted to harnessing this transformative technology in various real-world …