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20202026
most citedA Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning

27 citations · 70 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 8 cited

Log-Likelihood Score Level Fusion for Improved Cross-Sensor Smartphone Periocular Recognition

Fernando Alonso-Fernandez, Kiran B. Raja, Christoph Busch +1

The proliferation of cameras and personal devices results in a wide variability of imaging conditions, producing large intra-class variations and a significant performance drop whe…

cs.CV2023

EFaR 2023: Efficient Face Recognition Competition

Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen +24

This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition rece…

cs.CV2023★ 10 cited

Periocular biometrics: databases, algorithms and directions

Fernando Alonso-Fernandez, Josef Bigun

Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to th…

cs.CV2023

An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification

Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose M. Buades +2

This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting. LIME was initially pro…

cs.CV2023

One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations

Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun

One weakness of machine-learning algorithms is the need to train the models for a new task. This presents a specific challenge for biometric recognition due to the dynamic nature o…