computer-vision-1

Cross-Domain Iris Presentation Attack Detection

3260 papers • 126 benchmarks • 313 datasets

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NDPSID - WACV 2019

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Most implemented papers

Iris Presentation Attack Detection Based on Photometric Stereo Features

K. Bowyer, A. Czajka, Zhaoyuan Fang•Sat Nov 17 2018

This work proposes a new iris presentation attack detection method using three-dimensional features of an observed iris region estimated by photometric stereo, which was able to correctly classify over 95% of samples when tested on contact lens brands unseen in training, and over 98% when the contact lens brand was seen during training.

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Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection

A. Rocha, K. Bowyer, A. Czajka, Andrey Kuehlkamp, A. Pinto•Sat Nov 24 2018

This paper presents a new approach in iris presentation attack detection (PAD) by exploring combinations of convolutional neural networks (CNNs) and transformed input spaces through binarized statistical image features (BSIFs).

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