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An Overview of Periocular Biometrics
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-1400-346X
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4929-1262
2017 (English)In: Iris and Periocular Biometric Recognition / [ed] Christian Rathgeb & Christoph Busch, London: The Institution of Engineering and Technology , 2017, p. 29-53Chapter in book (Refereed)
Abstract [en]

Periocular biometrics specifically refers to the externally visible skin region of the face that surrounds the eye socket. Its utility is specially pronounced when the iris or the face cannot be properly acquired, being the ocular modality requiring the least constrained acquisition process. It appears over a wide range of distances, even under partial face occlusion (close distance) or low resolution iris (long distance), making it very suitable for unconstrained or uncooperative scenarios. It also avoids the need of iris segmentation, an issue in difficult images. In such situation, identifying a suspect where only the periocular region is visible is one of the toughest real-world challenges in biometrics. The richness of the periocular region in terms of identity is so high that the whole face can even be reconstructed only from images of the periocular region. The technological shift to mobile devices has also resulted in many identity-sensitive applications becoming prevalent on these devices.

Place, publisher, year, edition, pages
London: The Institution of Engineering and Technology , 2017. p. 29-53
Series
IET security series ; 5
Keywords [en]
face recognition, image reconstruction, unconstrained scenarios, eye socket, periocular biometrics, partial-face occlusion, face reconstruction, externally visible skin region, uncooperative scenarios, low-resolution iris
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-37705Libris ID: 22075497ISBN: 978-1-78561-168-1 (print)ISBN: 9781785611698 (electronic)OAI: oai:DiVA.org:hh-37705DiVA, id: diva2:1238870
Funder
Knowledge Foundation, CAISRSwedish Research Council, 2016-03497EU, FP7, Seventh Framework Programme, COST Action IC1106Available from: 2018-08-14 Created: 2018-08-14 Last updated: 2018-08-16Bibliographically approved

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Alonso-Fernandez, FernandoBigun, Josef

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