Eye tracking techniques based on deep learning are rapidly spreading in a wide variety of
application fields. With this study, we want to exploit the potentiality of eye tracking …

One of the most common and successful biometric frameworks is iris recognition, which has
yielded promising results in systems of access control and identity authentication. Recent …

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

Subject matching performance in iris biometrics is contingent upon fast, high-quality iris
segmentation. In many cases, iris biometrics acquisition equipment takes a number of …

Eyes opening and closing status is one of the most important components to monitor the
driver's fatigue. d The current research mainly considers eyes blink frequency and the …

Segmentation of the iris plays a pivotal role in iris recognition systems, yet it remains
challenging, particularly in scenarios with noisy images from non-cooperative subjects …

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 …

Existing iris recognition system provides accurate and reliable results based on Near
Infrared Images when images are captured under constrained environment with user …

Ocular regions such as iris and sclera yield high accuracy in user's biometrics as well as
liveness detection systems. The primary purpose for ocular recognition system is the …

针对基于深度学习的虹膜分割模型存在参数量大, 计算量大, 占用空间大的问题,
提出了一种轻量级的虹膜分割模型. 首先, 将Linknet 中特征提取网络替换为改进的轻量级网络 …