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Presentation Attack Detection for Iris Recognition: An Assessment of the State of the Art release_xox7phkkfnczzmbzg2o424fvoe

by Adam Czajka, Kevin W. Bowyer

Released as a article .

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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Type  article
Stage   submitted
Date   2018-06-06
Version   v2
Language   en ?
arXiv  1804.00194v2
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