Convolutional neural network for finger-vein-based biometric identification
The use of human finger-vein traits for the purpose of automatic user recognition has gained
a lot of attention in recent years. Current state-of-the-art techniques can provide relatively …
a lot of attention in recent years. Current state-of-the-art techniques can provide relatively …
Feature extraction for finger-vein-based identity recognition
GK Sidiropoulos, P Kiratsa, P Chatzipetrou… - Journal of …, 2021 - mdpi.com
This paper aims to provide a brief review of the feature extraction methods applied for finger
vein recognition. The presented study is designed in a systematic way in order to bring light …
vein recognition. The presented study is designed in a systematic way in order to bring light …
On-the-fly finger-vein-based biometric recognition using deep neural networks
Finger-vein-based biometric recognition technology has recently attracted the attention of
both academia and industry because of its robustness against presentation attacks and the …
both academia and industry because of its robustness against presentation attacks and the …
[HTML][HTML] Finger vein identification using deeply-fused Convolutional Neural Network
Finger vein identification is a recently developed biometric technology and has become an
essential field in biometrics, garnering increasing attention in recent years. As a biometric …
essential field in biometrics, garnering increasing attention in recent years. As a biometric …
Local discriminant coding based convolutional feature representation for multimodal finger recognition
Compared with unimodal biometrics systems, multimodal systems can effectively improve
the recognition performance in accuracy and security. However, exploring a robust feature …
the recognition performance in accuracy and security. However, exploring a robust feature …
Securing deep learning based edge finger vein biometrics with binary decision diagram
With built-in artificial intelligence (AI), edge devices, eg, smart cameras, can perform tasks
like detecting and tracking individuals, which is referred to as edge biometrics. As a driving …
like detecting and tracking individuals, which is referred to as edge biometrics. As a driving …
ViT-Cap: a novel vision transformer-based capsule network model for finger vein recognition
Y Li, H Lu, Y Wang, R Gao, C Zhao - Applied Sciences, 2022 - mdpi.com
Finger vein recognition has been widely studied due to its advantages, such as high
security, convenience, and living body recognition. At present, the performance of the most …
security, convenience, and living body recognition. At present, the performance of the most …
Trustworthy authorization method for security in Industrial Internet of Things
Abstract Industrial Internet of Things (IIoT) realizes machine-to-machine communication and
human–computer interaction (HCI) through communication network, which makes industrial …
human–computer interaction (HCI) through communication network, which makes industrial …
DGLFV: Deep generalized label algorithm for finger-vein recognition
With the growing demand for information security, finger-vein recognition has become
widespread. However, the robustness of the recognition process becomes a major problem …
widespread. However, the robustness of the recognition process becomes a major problem …
Finger-vein recognition using a novel enhancement method with convolutional neural network
A Bilal, G Sun, S Mazhar - Journal of the Chinese Institute of …, 2021 - Taylor & Francis
Finger vein biometric technology has gained a lot of popularity over recent years. This is
primarily due to the increased security and reliability level that comes with its non-intrusive …
primarily due to the increased security and reliability level that comes with its non-intrusive …