Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An Available Open-Source Vein Recognition Framework
Christof Kauba, Andreas Uhl
Advances in computer vision and pattern recognition (2019), pp. 113-142
Closed Access | Times Cited: 24

Showing 24 citing articles:

Feature Extraction for Finger-Vein-Based Identity Recognition
George Sidiropoulos, Polixeni Kiratsa, Petros Chatzipetrou, et al.
Journal of Imaging (2021) Vol. 7, Iss. 5, pp. 89-89
Open Access | Times Cited: 34
Fusion loss and inter-class data augmentation for deep finger vein feature learning
Weifeng Ou, Lai-Man Po, Chang Zhou, et al.
Expert Systems with Applications (2021) Vol. 171, pp. 114584-114584
Closed Access | Times Cited: 28
State of the Art in Vascular Biometrics
Andreas Uhl
Advances in computer vision and pattern recognition (2019), pp. 3-61
Closed Access | Times Cited: 23
Multi scale-aware attention for pyramid convolution network on finger vein recognition
Huijie Zhang, Weizhen Sun, Ling Lv
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Inverse Biometrics: Generating Vascular Images From Binary Templates
Christof Kauba, Simon Kirchgasser, Vahid Mirjalili, et al.
IEEE Transactions on Biometrics Behavior and Identity Science (2021) Vol. 3, Iss. 4, pp. 464-478
Open Access | Times Cited: 17
GAN-Based Inter-Class Sample Generation for Contrastive Learning of Vein Image Representations
Weifeng Ou, Lai-Man Po, Chang Zhou, et al.
IEEE Transactions on Biometrics Behavior and Identity Science (2022) Vol. 4, Iss. 2, pp. 249-262
Closed Access | Times Cited: 10
Confronting a Variety of Finger Vein Recognition Algorithms With Wax Presentation Attack Artefacts
Johannes Schuiki, Bernhard Prommegger, Andreas Uhl
(2021)
Closed Access | Times Cited: 14
GSCL: Generative Self-Supervised Contrastive Learning for Vein-Based Biometric Verification
Weifeng Ou, Lai-Man Po, Xiu‐Feng Huang, et al.
IEEE Transactions on Biometrics Behavior and Identity Science (2024) Vol. 6, Iss. 2, pp. 230-244
Closed Access | Times Cited: 1
Finger Vein Spoof GANs: Can We Supersede the Production of Presentation Attack Artefacts?
Andreas Vorderleitner, Jutta Hämmerle-Uhl, Andreas Uhl
Lecture notes in computer science (2024), pp. 109-124
Closed Access | Times Cited: 1
PROTECT: Pervasive and useR fOcused biomeTrics bordEr projeCT – a case study
Chiara Galdi, Jonathan Boyle, Lulu Chen, et al.
IET Biometrics (2020) Vol. 9, Iss. 6, pp. 297-308
Open Access | Times Cited: 9
Inverse Biometrics: Reconstructing Grayscale Finger Vein Images from Binary Features
Christof Kauba, Simon Kirchgasser, Vahid Mirjalili, et al.
(2020), pp. 1-10
Closed Access | Times Cited: 8
Efficient Fingervein Sample Image Encryption
Sanjay P. Shekhawat, Heinz Hofbauer, Bernhard Prommegger, et al.
(2020) Vol. 5558, pp. 1-6
Closed Access | Times Cited: 7
Vulnerability Assessment and Presentation Attack Detection Using a Set of Distinct Finger Vein Recognition Algorithms
Johannes Schuiki, Georg Wimmer, Andreas Uhl
(2021)
Closed Access | Times Cited: 6
Hand Vein Spoof GANs: Pitfalls in the Assessment of Synthetic Presentation Attack Artefacts
Andreas Vorderleitner, Jutta Hämmerle-Uhl, Andreas Uhl
(2023), pp. 133-138
Open Access | Times Cited: 2
Fingervein Sample Image Quality Assessment using Natural Scene Statistics
Oliver Remy, Jutta Hämmerle-Uhl, Andreas Uhl
(2022), pp. 1-6
Closed Access | Times Cited: 4
Cancellable Biometrics for Finger Vein Recognition—Application in the Feature Domain
Simon Kirchgasser, Christof Kauba, Andreas Uhl
Advances in computer vision and pattern recognition (2019), pp. 481-506
Closed Access | Times Cited: 5
Joint Learning of Identity and Vein Features for Enhanced Representations in Vascular Biometrics
Weifeng Ou, Lai-Man Po, Xiu‐Feng Huang
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 4440-4444
Closed Access
Difficulties in Using Synthetic Data for Presentation Attack Detection in Finger Vein Recognition: The Role of Model Fingerprints
M.S. Langer, Michael Hafner, Stefan Findenig, et al.
(2024), pp. 1-10
Closed Access
Feasibility of Morphing-Attacks in Vascular Biometrics
Altan K. Aydemir, Jutta Hämmerle-Uhl, Andreas Uhl
(2021), pp. 1-7
Closed Access | Times Cited: 3
Cross Sensor Finger Vein Recognition
Bernhard Prommegger, Georg Wimmer, Andreas Uhl
(2022), pp. 1-5
Closed Access | Times Cited: 2
On Wrist Vein Recognition For Human Biometrics
Felix Marattukalam, David Cole, Pranav Gulati, et al.
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2022), pp. 66-73
Closed Access | Times Cited: 2
VeinPLUS+: A Publicly Available and Free Software Framework for Vein Recognition
Michael Linortner, Andreas Uhl
(2021), pp. 1-5
Closed Access | Times Cited: 2
Importance of Database Protocols
Teodors Eglītis
(2021)
Closed Access
Influence of Test Protocols on Biometric Recognition Performance Estimation
Teodors Eglītis, Emanuele Maiorana, Patrizio Campisi
(2021), pp. 1-5
Closed Access
Page 1

Scroll to top