Finger-vein-based biometric technology has received wide attention and has made some
positive achievements in improving the performance of personal identification. This article …

Deep learning methods, and especially convolutional neural networks (CNNs), have made a
considerable breakthrough in various fields of machine vision, basically by employing large …

In finger-vein-based biometric verification, it is essential to robustly extract vein features with
strong discrimination ability. Recently, deep learning methods have achieved remarkable …

It is a difficult task to extract vein features accurately since the finger-vein images captured
by near infrared light are always poor in quality. This paper proposes a novel finger vein …

As a novelist and the most secure biometric method, finger vein recognition has gained
substantial significance and various pertinent researches have been reported in literature …

Finger vein recognition is an advanced biometric recognition technology that offers high
precision and high security. It recognizes or authenticates individuals using irradiating vein …

Using deep learning to improve the performance of finger vein recognition has become a
part of mainstream research. Currently, the performance of finger vein recognition systems is …

In finger vein recognition, vein points-based methods classified the image points into vein
points and non-vein points and only measured the vein points for the recognition. All points …

Biometric verification systems are deployed in various security-based access-control
applications that require user-friendly and reliable user verification. Among the different …

Existing methods for iris, fingerprint, and 3D face recognition in mobile devices have
constraints in terms of price and size owing to their use of additional cameras, lighting, and …