Ocular recognition databases and competitions : a survey.

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dc.contributor.authorZanlorensi Junior, Luiz Antonio
dc.contributor.authorLaroca, Rayson
dc.contributor.authorLuz, Eduardo José da Silva
dc.contributor.authorBritto Junior, Alceu de Souza
dc.contributor.authorOliveira, Luiz Eduardo Soares de
dc.contributor.authorMenotti, David
dc.date.accessioned2023-07-24T19:16:02Z
dc.date.available2023-07-24T19:16:02Z
dc.date.issued2022pt_BR
dc.description.abstractThe 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.pt_BR
dc.identifier.citationZANLORENSI 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.pt_BR
dc.identifier.doihttps://doi.org/10.1007/s10462-021-10028-wpt_BR
dc.identifier.issn1573-7462
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/17036
dc.identifier.uri2https://link.springer.com/article/10.1007/s10462-021-10028-wpt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectOcular biometricspt_BR
dc.subjectIris recognitionpt_BR
dc.subjectPeriocular recognitionpt_BR
dc.subjectOcular recognition competitionpt_BR
dc.subjectOcular databasespt_BR
dc.titleOcular recognition databases and competitions : a survey.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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