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20222026
most citedA Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning

27 citations · 45 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Periocular Soft Biometrics: A Survey and Applications to Multimedia Forensics and Disinformation Detection

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

Soft-biometric attributes such as gender, age, and ethnicity provide valuable ancillary evidence when full identity recognition is not feasible, supporting applications in forensic…

cs.CV2024

Combined CNN and ViT features off-the-shelf: Another astounding baseline for recognition

Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Prayag Tiwari +1

We apply pre-trained architectures, originally developed for the ImageNet Large Scale Visual Recognition Challenge, for periocular recognition. These architectures have demonstrate…

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…