Multimodal biometric authentication based on deep fusion of electrocardiogram (ECG) and finger vein
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Systems"
DOI: 10.1007/s00530-021-00810-9
Abstract: Biometric identification depends on the statistical analysis of the unique physical and behavioral characteristics of individuals. However, a unimodal biometric system is susceptible to different attacks such as spoof attacks. To overcome these limitations, we propose… read more here.
Keywords: system; feature; authentication; finger vein ... See more keywords
Steepest deep bipolar Cascade correlation for finger-vein verification
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02619-5
Abstract: Finger-vein verification is a considerable problem to be addressed in a biometric system. A lot of research works have been intended for finger-vein authentication with aid of diverse data mining algorithms. But, the verification accuracy… read more here.
Keywords: sdbccml technique; verification; finger; finger vein ... See more keywords
Finger vein biometric verification using block multi-scale uniform local binary pattern features and block two-directional two-dimension principal component analysis
Sign Up to like & getrecommendations! Published in 2020 at "Optik"
DOI: 10.1016/j.ijleo.2019.163664
Abstract: Abstract Finger vein recognition has drawn increasing attention as one of the most popular and promising biometrics due to its high distinguishes ability, security and non-invasive procedure. The focus of this paper is on proposing… read more here.
Keywords: dimension; uniform local; finger vein; local binary ... See more keywords
Accurate ROI localization and hierarchical hyper-sphere model for finger-vein recognition
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.098
Abstract: Abstract Recently, the finger-vein (FV) trait has attracted substantial attentions for personal recognition in biometric community, and some FV-based biometric systems have been well developed in real applications. However, improving the efficiency of FV recognition… read more here.
Keywords: recognition; roi localization; hyper sphere; finger vein ... See more keywords
Human identification using finger vein and ECG signals
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.015
Abstract: Abstract Biometric human identification refers to the automated recognition of individuals based on their biological or behavioral characteristics. Finger vein recognition and electrocardiogram (ECG) recognition have received a lot of attention for over ten years… read more here.
Keywords: ecg signals; identification; vein ecg; finger vein ... See more keywords
Finger vein recognition based on zone-based minutia matching
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.029
Abstract: Abstract Finger vein is universally regarded as a secure and convenient biometric pattern. Consequently, it has received considerable attention from researchers and is widely used in real world applications. However, the undesirable image quality and… read more here.
Keywords: minutia matching; vein recognition; minutia; finger vein ... See more keywords
Finger-Vein Image Enhancement Based on Pulse Coupled Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2914229
Abstract: As a promising biometric technique, the finger-vein image recognition has seen a recent surge of interest. However, the collected finger-vein images are often degraded seriously because of various vein patterns, uneven illumination, and unsatisfied sensor… read more here.
Keywords: model; finger vein; vein image; finger ... See more keywords
GAN-Based Image Augmentation for Finger-Vein Biometric Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2960411
Abstract: Deep learning methods, and especially convolutional neural networks (CNNs), have made a considerable breakthrough in various fields of machine vision, basically by employing large-scale labeled databases. However, deep learning methods applied in finger-vein area are… read more here.
Keywords: image augmentation; finger vein; finger; cnn ... See more keywords
Real-Time Segmentation Method of Lightweight Network For Finger Vein Using Embedded Terminal Technique
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2020.3046108
Abstract: Because the existing finger vein segmentation networks are too large and not suitable for implementation in mobile terminals, the reduction of the parameters of the lightweight network leads to the reduction of the segmentation index,… read more here.
Keywords: time; lightweight network; finger vein; segmentation ... See more keywords
Finger Vein Recognition Based on Anatomical Features of Vein Patterns
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3253203
Abstract: Finger vein recognition is a promising biometric authentication technique that depends on the unique features of vein patterns in the finger for recognition. The existing finger vein recognition methods are based on minutiae features or… read more here.
Keywords: vein recognition; vein patterns; based anatomical; finger vein ... See more keywords
Exploiting Multiperspective Driven Hierarchical Content-Aware Network for Finger Vein Verification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3188561
Abstract: The finger vein trait has attracted widespread attention for personal authentication in recent years. However, most finger vein verification methods are performed on the single perspective, captured by a monocular near-infrared camera fixed at one… read more here.
Keywords: network; vein verification; finger; perspective ... See more keywords