Presentation Attack Detection for Iris Recognition: An Assessment of the
State of the Art
release_xox7phkkfnczzmbzg2o424fvoe
by
Adam Czajka, Kevin W. Bowyer
2018
Abstract
Iris recognition is increasingly used in large-scale applications. As a
result, presentation attack detection for iris recognition takes on fundamental
importance. This survey covers the diverse research literature on this topic.
Different categories of presentation attack are described and placed in an
application-relevant framework, and the state of the art in detecting each
category of attack is summarized. One conclusion from this is that presentation
attack detection for iris recognition is not yet a solved problem. Datasets
available for research are described, research directions for the near- and
medium-term future are outlined, and a short list of recommended readings are
suggested.
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