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 +3 more sources
Spoof Detection for Finger-Vein Recognition System Using NIR Camera [PDF]
Sensors, 2017 Finger-vein recognition, a new and advanced biometrics recognition method, is attracting the attention of researchers because of its advantages such as high recognition performance and lesser likelihood of theft and inaccuracies occurring on account of ...
Dat Tien Nguyen +3 more
doaj +3 more sources
Finger Vein Recognition with Personalized Feature Selection [PDF]
Sensors, 2013 Finger veins are a promising biometric pattern for personalized identification in terms of their advantages over existing biometrics. Based on the spatial pyramid representation and the combination of more effective information such as gray, texture and shape, this paper proposes a simple but powerful feature, called Pyramid Histograms of Gray ...
Gongping Yang +2 more
exaly +7 more sources
Finger Vein Recognition Based on Personalized Weight Maps [PDF]
Sensors, 2013 Finger vein recognition is a promising biometric recognition technology, which verifies identities via the vein patterns in the fingers. Binary pattern based methods were thoroughly studied in order to cope with the difficulties of extracting the blood ...
Lu Yang +3 more
doaj +3 more sources
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
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
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
Intensity Variation Normalization for Finger Vein Recognition Using Guided Filter Based Singe Scale Retinex [PDF]
Sensors, 2015 Finger vein recognition has been considered one of the most promising biometrics for personal authentication. However, the capacities and percentages of finger tissues (e.g., bone, muscle, ligament, water, fat, etc.) vary person by person.
Shan Juan Xie +4 more
doaj +2 more sources
FedPSFV: Personalized Federated Learning via Prototype Sharing for Finger Vein Recognition [PDF]
SensorsFinger vein recognition algorithms based on deep learning techniques are widely used in many fields. However, the training of finger vein recognition models is hindered by privacy issues and the scarcity of public datasets.
Haoyan Xu +4 more
doaj +2 more sources
Point Grouping Method for Finger Vein Recognition [PDF]
IEEE Access, 2019 In finger vein recognition, vein points-based methods classified the image points into vein points and non-vein points and only measured the vein points for the recognition.
Lu Yang +5 more
doaj +2 more sources