Ocular recognition databases and competitions : a survey.
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Date
2022
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Abstract
The use of the iris and periocular region as biometric traits has been extensively investigated, mainly due to the singularity of the iris features and the use of the periocular region
when the image resolution is not sufcient to extract iris information. In addition to providing information about an individual’s identity, features extracted from these traits can also
be explored to obtain other information such as the individual’s gender, the infuence of
drug use, the use of contact lenses, spoofng, among others. This work presents a survey of
the databases created for ocular recognition, detailing their protocols and how their images
were acquired. We also describe and discuss the most popular ocular recognition competitions (contests), highlighting the submitted algorithms that achieved the best results using
only iris trait and also fusing iris and periocular region information. Finally, we describe
some relevant works applying deep learning techniques to ocular recognition and point out
new challenges and future directions. Considering that there are a large number of ocular
databases, and each one is usually designed for a specifc problem, we believe this survey
can provide a broad overview of the challenges in ocular biometrics.
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Keywords
Ocular biometrics, Iris recognition, Periocular recognition, Ocular recognition competition, Ocular databases
Citation
ZANLORENSI JUNIOR, L. A. et al. Ocular recognition databases and competitions: a survey. Artifcial Intelligence Review, v. 55, p. 129–180, 2022. Disponível em: <https://link.springer.com/article/10.1007/s10462-021-10028-w>. Acesso em: 06 jul. 2023.