To address this problem, a novel deep learning-based approach using convolution-neural-network (CNN) for finger vein identification has been introduced here.

A convolutional-neural-network-based finger-vein identification system is proposed and the accuracy achievable with the proposed approach can go beyond 95% ...

This research proposes a finger-vein recognition method that is robust to various database types and environmental changes based on the convolutional neural ...

In this paper, we have employed an improved deep network, named Merge Convolutional Neural Network (Merge CNN), which uses several CNNs with short paths.

Jun 8, 2024 · To address this problem, this research proposes a finger-vein recognition method that is robust to various database types and environmental ...

In this paper, we propose a deep convolutional neural network (CNN) model, named the Finger-vein Network (FV-Net), to learn the features representative of a ...

A deep neural network using bidirectional feature extraction and transfer learning to improve finger-vein recognition performance and enjoys higher accuracy ...

In this paper, two finger vein recognition models that combine shallow features with deep features are proposed. ... based on lightweight deep convolutional ...

In this paper, an inceptionResnet-v2 pre-trained deep convolution neural network model is proposed for finger vein identification.

Jul 5, 2022 · The application of DL-based methods, especially. Convolutional Neural Networks (CNNs), greatly changes the manual feature extraction process.