51 citations · 113 across the 17 of their papers we have counts for
12 papers · 1 filter
Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection
Andrey Kuehlkamp, Allan Pinto, Anderson Rocha +2
The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation attack images (textured contact lenses and print…
Predicting Gender from Iris Texture May Be Harder Than It Seems
Andrey Kuehlkamp, Kevin Bowyer
Predicting gender from iris images has been reported by several researchers as an application of machine learning in biometrics. Recent works on this topic have suggested that the…
Fast Face Image Synthesis with Minimal Training
Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer +1
We propose an algorithm to generate realistic face images of both real and synthetic identities (people who do not exist) with different facial yaw, shape and resolution.The synthe…
Iris Presentation Attack Detection Based on Photometric Stereo Features
Adam Czajka, Zhaoyuan Fang, Kevin W. Bowyer
We propose a new iris presentation attack detection method using three-dimensional features of an observed iris region estimated by photometric stereo. Our implementation uses a pa…
On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs
Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer +1
We propose a multi-scale GAN model to hallucinate realistic context (forehead, hair, neck, clothes) and background pixels automatically from a single input face mask. Instead of sw…
Open Source Presentation Attack Detection Baseline for Iris Recognition
Joseph McGrath, Kevin W. Bowyer, Adam Czajka
This paper proposes the first, known to us, open source presentation attack detection (PAD) solution to distinguish between authentic iris images (possibly wearing clear contact le…