4 citations · 5 across the 2 of their papers we have counts for
6 papers
Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data
Evan Brinckman, Andrey Kuehlkamp, Jarek Nabrzyski +1
As the public Ethereum network surpasses half a billion transactions and enterprise Blockchain systems becoming highly capable of meeting the demands of global deployments, product…
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…
Found a good match: should I keep searching? - Accuracy and Performance in Iris Matching Using 1-to-First Search
Andrey Kuehlkamp, Kevin Bowyer
Iris recognition is used in many applications around the world, with enrollment sizes as large as over one billion persons in India's Aadhaar program. Large enrollment sizes can re…
Gender-From-Iris or Gender-From-Mascara?
Andrey Kuehlkamp, Benedict Becker, Kevin Bowyer
Predicting a person's gender based on the iris texture has been explored by several researchers. This paper considers several dimensions of experimental work on this problem, inclu…
An Analysis of 1-to-First Matching in Iris Recognition
Andrey Kuehlkamp, Kevin W. Bowyer
Iris recognition systems are a mature technology that is widely used throughout the world. In identification (as opposed to verification) mode, an iris to be recognized is typicall…