Recent advancements in finger vein recognition technology: methodology, challenges and opportunities
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 …
more secure, reliable, and emerging. This article presents a review to focus on the recent …
Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DS Oliveira… - ACM Computing …, 2022 - dl.acm.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
Finger vein recognition algorithm based on lightweight deep convolutional neural network
J Shen, N Liu, C Xu, H Sun, Y Xiao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Even though the deep neural networks have strong feature representation capability and
high recognition accuracy in finger vein recognition, the deep models are computationally …
high recognition accuracy in finger vein recognition, the deep models are computationally …
A joint bayesian framework based on partial least squares discriminant analysis for finger vein recognition
Finger vein recognition has attracted considerable attention from the biometric identification
technology community owing to its convenience and security. Unlike most previous works …
technology community owing to its convenience and security. Unlike most previous works …
Biometric authentication using a deep learning approach based on different level fusion of finger knuckle print and fingernail
H Heidari, A Chalechale - Expert Systems with Applications, 2022 - Elsevier
This paper presents a deep learning method for human authentication based on hand
dorsal characteristics. The proposed method uses the fingernail (FN) and the finger knuckle …
dorsal characteristics. The proposed method uses the fingernail (FN) and the finger knuckle …
Finger vein recognition via sparse reconstruction error constrained low-rank representation
L Yang, G Yang, K Wang, F Hao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vein pattern-based methods have powerfully promoted the performance of finger vein
recognition. However, it is not easy to precisely extract vein patterns from images, especially …
recognition. However, it is not easy to precisely extract vein patterns from images, especially …
Gait recognition based on deep learning: a survey
CFG Santos, DDS Oliveira, LA Passos… - arXiv preprint arXiv …, 2022 - arxiv.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
Small-area finger vein recognition
L Yang, X Liu, G Yang, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, finger vein sensors have been embedded in all kinds of electronic devices for
personal identification, such as intelligent door locks and attendance machines. The …
personal identification, such as intelligent door locks and attendance machines. The …
Learning compact multirepresentation feature descriptor for finger-vein recognition
Due to its high anti-counterfeiting and universality, the use of finger-vein pattern for identity
authentication has recently attracted extensive attention in academia and industry. Despite …
authentication has recently attracted extensive attention in academia and industry. Despite …
Linear discriminant analysis with generalized kernel constraint for robust image classification
Linear discriminant analysis (LDA) as a classical supervised dimensionality reduction
method has shown powerful capability in various image classification tasks. The purpose of …
method has shown powerful capability in various image classification tasks. The purpose of …