May 23, 2019 · Generally, a finger vein verification system consists of four parts: image acquisition, image preprocessing, feature extraction and matching, of ...
Second, focusing on the characteristics of finger vein verification, they construct a Siamese structure combining with a modified contrastive loss function for ...
Jul 20, 2023 · In this paper, we propose a novel and lightweight network architecture for finger vein verification, which was constructed based on a Siamese framework.
We propose a lightweight Siamese network with a self-attention mechanism to improve the authentication performance for low-quality finger vein images.
To address this problem, we propose a novel method to design an endto-end deep Convolutional Neural Network (CNN) for robust finger vein recognition. The ...
This paper introduces a new approach of identifying finger veins using the Convolutional Neural Networks (CNNs) with center loss function and dynamic ...
Jul 18, 2023 · In this paper, we propose a novel and lightweight network architecture for finger vein verification, which was constructed based on a Siamese ...
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Abstract: Finger vein verification has recently received increasing attention as a result of its specific benefits. Focusing on the characteristics of ...
Oct 25, 2023 · The Siamese network for fingervein verifica- tion was studied using different CNN configurations and U-. NET-based architectures. The ...
May 30, 2020 · Using this pretrained CNN, a Siamese network was constructed with modified contrastive loss function. Now the complexity was reduced by the ...