Iris presentation attack detection: Where are we now?

•A survey of recent literature in the field of iris presentation attack detection.•Details on new publicly-available datasets provided.•Ideas for future research directions. As the popularity of iris recognition systems increases, the importance of effective security measures against presentation at...

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Bibliographic Details
Published in:Pattern recognition letters 2020-10, Vol.138, p.483-489
Main Authors: Boyd, Aidan, Fang, Zhaoyuan, Czajka, Adam, Bowyer, Kevin W.
Format: Article
Language:English
Subjects:
Biometric recognition systems
Biometrics
Feature extraction
Iris
Iris presentation attack detection
Machine learning
Security
System effectiveness
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Summary:•A survey of recent literature in the field of iris presentation attack detection.•Details on new publicly-available datasets provided.•Ideas for future research directions. As the popularity of iris recognition systems increases, the importance of effective security measures against presentation attacks becomes paramount. This work presents an overview of the most important advances in the area of iris presentation attack detection published in the recent two years. Newly-released, publicly-available datasets for development and evaluation of iris presentation attack detection are discussed. Recent literature can be seen to be broken into three categories: traditional “hand-crafted” feature extraction and classification, deep learning-based solutions, and hybrid approaches fusing both methodologies. Conclusions of modern approaches underscore the difficulty of this task. Finally, commentary on possible directions for future research is provided.
ISSN:0167-8655
1872-7344
DOI:10.1016/j.patrec.2020.08.018