5 papers · 1 filter
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Aidan Boyd, Kevin Bowyer, Adam Czajka
Deep learning has driven remarkable accuracy increases in many computer vision problems. One ongoing challenge is how to achieve the greatest accuracy in cases where training data…
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition
Priyanka Das, Joseph McGrath, Zhaoyuan Fang +20
Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection…
Iris Presentation Attack Detection: Where Are We Now?
Aidan Boyd, Zhaoyuan Fang, Adam Czajka +1
As the popularity of iris recognition systems increases, the importance of effective security measures against presentation attacks becomes paramount. This work presents an overvie…
Are Gabor Kernels Optimal for Iris Recognition?
Aidan Boyd, Adam Czajka, Kevin Bowyer
Gabor kernels are widely accepted as dominant filters for iris recognition. In this work we investigate, given the current interest in neural networks, if Gabor kernels are the onl…
Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?
Aidan Boyd, Adam Czajka, Kevin Bowyer
Modern deep learning techniques can be employed to generate effective feature extractors for the task of iris recognition. The question arises: should we train such structures from…