Finger vein recognition biometric trait is a significant biometric modality that is considered
more secure, reliable, and emerging. This article presents a review to focus on the recent …

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 …

Image enhancement plays an important role in improving image quality in the field of image
processing, which is achieved by highlighting useful information and suppressing redundant …

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 …

Biometric authentication has garnered significant attention as a secure and efficient method
of identity verification. Among the various modalities, hand vein biometrics, including finger …

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 …

Automated person recognition is an essential field to preserve individual privacy in
biometrics. A conventional system performs the recognition, but inaccurate detection of …

The pulse-coupled neural network (PCNN) has become a popular biology-inspired model
because of its remarkable performance, such as image fusion, segmentation, and …

Finger vein recognition (FVR) is a biometric trait that can authenticate the person in real-time
applications. However, finger vein (FV) images are generally poor due to various …