activity
20172022
most citedEnsemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection

59 citations · 66 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2022

Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition

Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp +2

Forensic iris recognition, as opposed to live iris recognition, is an emerging research area that leverages the discriminative power of iris biometrics to aid human examiners in th…

cs.CV2021

Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition

Andrey Kuehlkamp, Aidan Boyd, Adam Czajka +4

Iris recognition of living individuals is a mature biometric modality that has been adopted globally from governmental ID programs, border crossing, voter registration and de-dupli…

cs.CR2019

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…

cs.CV2018★ 59 cited

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…

cs.CV2018

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…

cs.CV2018★ 2 cited

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…

cs.CV2017★ 4 cited

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…

cs.CV2017★ 1 cited

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…