The very high recognition accuracy of iris-based biometric systems and the increasing
distribution of high-resolution personal images on websites and social media are creating …

In general, iris recognition systems with linear normalization model ignore the Pupil Light
Reflex-PLR. The PLR is responsible for adjusting light intensity reaches the retina and …

Biometric template protection (BTP) schemes are implemented to increase public
confidence in biometric systems regarding data privacy and security in recent years. The …

With the rapid development of deep learning, iris recognition methods based on deep
learning are constantly being proposed. These methods generally consist of iris …

Systems and methods for eye image set selection, eye image collection, and eye image
combination are described. Embodiments of the systems and methods for eye image …

Biometric recognition systems are part of our daily life. They enable a user-convenient
authentication alternative to passwords or tokens as well as high security identity …

Iris recognition is a crucial part of our lives today. It facilitates secured access to a system
while accessing sensitive areas. With the advent of deep learning, this task has been …

The widespread adoption of machine learning, especially Deep Neural Networks (DNNs) in
daily life, causes great concern about its security property. Szegedy et al.'s study showed …

Deep models have provided high accuracy for different applications such as person
recognition, image segmentation, image captioning, scene description, and action …