Recent advancements in finger vein recognition technology: methodology, challenges and opportunities

K Shaheed, A Mao, I Qureshi, M Kumar, S Hussain… - Information …, 2022 - Elsevier
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 …

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

H Kheddar, Y Himeur, AI Awad - Journal of Network and Computer …, 2023 - Elsevier
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …

Convolutional neural network for finger-vein-based biometric identification

R Das, E Piciucco, E Maiorana… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 systematic review of finger vein recognition techniques

K Shaheed, H Liu, G Yang, I Qureshi, J Gou, Y Yin - Information, 2018 - mdpi.com
Biometric identification is the study of physiological and behavioral attributes of an individual
to overcome security problems. Finger vein recognition is a biometric technique used to …

Deep learning techniques for biometric security: A systematic review of presentation attack detection systems

K Shaheed, P Szczuko, M Kumar, I Qureshi… - … Applications of Artificial …, 2024 - Elsevier
Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …

Fvras-net: An embedded finger-vein recognition and antispoofing system using a unified cnn

W Yang, W Luo, W Kang, Z Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Despite claims that finger-vein biometrics can detect aliveness, recent research has shown
that current systems can be fooled by forged vein patterns printed on a distinctive paper …

ArcVein-arccosine center loss for finger vein verification

B Hou, R Yan - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
This article proposes a new loss function termed arccosine center loss, which can learn
interclass and intraclass information simultaneously, to improve the discriminative ability of …

Joint discriminative feature learning for multimodal finger recognition

S Li, B Zhang, L Fei, S Zhao - Pattern Recognition, 2021 - Elsevier
Recently, finger-based multimodal biometrics, due to its high security and stability, has
received considerable attention compared with unimodal biometrics. However, existing …

Local discriminant coding based convolutional feature representation for multimodal finger recognition

S Li, B Zhang, S Zhao, J Yang - Information Sciences, 2021 - Elsevier
Compared with unimodal biometrics systems, multimodal systems can effectively improve
the recognition performance in accuracy and security. However, exploring a robust feature …

Label enhancement-based multiscale transformer for palm-vein recognition

H Qin, C Gong, Y Li, X Gao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vein biometrics is a high-security and privacy-preserving identification technology that has
received increasing attentions. Although deep neural networks (DNNs), such as …