Mobile devices have brought a great convenience to us these years, which allow the users
to enjoy the anytime and anywhere various applications such as the online shopping …

In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …

In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …

With the increasing demand for information security and security regulations all over the
world, biometric recognition technology has been widely used in our everyday life. In this …

User authentication is a critical process in both corporate and home environments due to the
ever-growing security and privacy concerns. With the advancement of smart cities and home …

Multimodal biometric systems have been widely applied in many real-world applications due
to its ability to deal with a number of significant limitations of unimodal biometric systems …

Background A prerequisite for many eye tracking and video-oculography (VOG) methods is
an accurate localization of the pupil. Several existing techniques face challenges in images …

This paper proposes an accurate and generalizable deep learning framework for iris
recognition. The proposed framework is based on a fully convolutional network (FCN), which …

This paper investigates a new approach for the automated human identification using 2D
ear imaging. We present a completely automated approach for the robust segmentation of …