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Periocular Biometrics: A Modality for Unconstrained Scenarios
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-1400-346X
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-4929-1262
Universidad Autónoma de Madrid, Madrid, Spain.
Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany.
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2024 (English)In: Computer, ISSN 0018-9162, E-ISSN 1558-0814, Vol. 57, no 6, p. 40-49Article in journal (Refereed) Published
Abstract [en]

This article discusses the state of the art in periocular biometrics, presenting an overall framework encompassing the field's most significant research aspects, which include ocular definition, acquisition, and detection; identity recognition; and ocular soft-biometric analysis. © 1970-2012 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Computer Society, 2024. Vol. 57, no 6, p. 40-49
Keywords [en]
Biometric analysis, Identity recognition, Periocular, Soft biometrics, State of the art
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-54353DOI: 10.1109/MC.2023.3298095ISI: 001240114700006Scopus ID: 2-s2.0-85172810109&OAI: oai:DiVA.org:hh-54353DiVA, id: diva2:1886509
Available from: 2024-08-01 Created: 2024-08-01 Last updated: 2025-10-01Bibliographically approved

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Alonso-Fernandez, FernandoBigun, Josef

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