Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …

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 …

Existing iris recognition systems are heavily dependent on specific conditions, such as the
distance of image acquisition and the stop-and-stare environment, which require significant …

The recent advancements in computer vision have opened new horizons for deploying
biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition …

Deep learning techniques such as convolutional neural network and capsule network have
attained good results in iris recognition. However, due to the influence of eyelashes, skin …

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 …

In this paper, we present a new iris ROI segmentation algorithm using a deep convolutional
neural network (NN) to achieve the state‐of‐the‐art segmentation performance on well …

With the development of information society, biometrics technology has been paid more and
more attention. Iris recognition is considered as the most promising biometric authentication …

The iris technology recognizes individuals from their iris texture with great precision.
However, it does not perform well for the non-ideal data, where the eye image may contain …

Commercial iris recognition systems do not perform well for non-ideal data, because their
iris localization algorithms are specifically developed for controlled data. This paper …