A deep ensemble learning method for single finger-vein identification [PDF]
Frontiers in Neurorobotics, 2023 Finger-vein biometrics has been extensively investigated for personal verification. Single sample per person (SSPP) finger-vein recognition is one of the open issues in finger-vein recognition.
Chongwen Liu +9 more
doaj +2 more sources
Improved Lightweight Convolutional Neural Network for Finger Vein Recognition System [PDF]
Bioengineering, 2023 Computer vision (CV) technology and convolutional neural networks (CNNs) demonstrate superior feature extraction capabilities in the field of bioengineering.
Chih-Hsien Hsia +2 more
doaj +2 more sources
Restoration of Motion Blurred Image by Modified DeblurGAN for Enhancing the Accuracies of Finger-Vein Recognition [PDF]
Sensors, 2021 Among many available biometrics identification methods, finger-vein recognition has an advantage that is difficult to counterfeit, as finger veins are located under the skin, and high user convenience as a non-invasive image capturing device is used for ...
Jiho Choi +4 more
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Three-Dimensional Finger Vein Recognition: A Novel Mirror-Based Imaging Device [PDF]
Journal of Imaging, 2022 Finger vein recognition has evolved into a major biometric trait in recent years. Despite various improvements in recognition accuracy and usability, finger vein recognition is still far from being perfect as it suffers from low-contrast images and other
Christof Kauba +4 more
doaj +2 more sources
ViT-Cap: A Novel Vision Transformer-Based Capsule Network Model for Finger Vein Recognition
Applied Sciences (Switzerland), 2022 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 advanced finger vein recognition methods largely depends on the quality of ...
Yifan Wang, Huimin Lu
exaly +3 more sources
A Finger Vein Liveness Detection System Based on Multi-Scale Spatial-Temporal Map and Light-ViT Model [PDF]
Sensors, 2023 Prosthetic attack is a problem that must be prevented in current finger vein recognition applications. To solve this problem, a finger vein liveness detection system was established in this study.
Liukui Chen +5 more
doaj +2 more sources
A Degraded Finger Vein Image Recovery and Enhancement Algorithm Based on Atmospheric Scattering Theory [PDF]
SensorsWith the development of biometric identification technology, finger vein identification has received more and more widespread attention for its security, efficiency, and stability.
Dingzhong Feng +5 more
doaj +2 more sources
A Simple and Efficient Method for Finger Vein Recognition [PDF]
Sensors, 2022 Finger vein recognition has drawn increasing attention as one of the most popular and promising biometrics due to its high distinguishing ability, security, and non-invasive procedure.
Zhongxia Zhang, Mingwen Wang
doaj +2 more sources
Design of Low-Complexity Convolutional Neural Network Accelerator for Finger Vein Identification System [PDF]
Sensors, 2023 In the biometric field, vein identification is a vital process that is constrained by the invisibility of veins as well as other unique features. Moreover, users generally do not wish to have their personal information uploaded to the cloud, so edge ...
Robert Chen-Hao Chang +3 more
doaj +2 more sources
Finger-Vein Recognition Using Heterogeneous Databases by Domain Adaption Based on a Cycle-Consistent Adversarial Network [PDF]
Sensors, 2021 The conventional finger-vein recognition system is trained using one type of database and entails the serious problem of performance degradation when tested with different types of databases. This degradation is caused by changes in image characteristics
Kyoung Jun Noh +3 more
doaj +2 more sources