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Periocular biometrics: Databases, Algorithms and Directions
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
2016 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, including eyelids, lashes and eyebrows. It is available over a wide range of acquisition distances, representing a tradeoff between the whole face (which can be occluded at close distances) and the iris texture (which do not have enough resolution at long distances). Since the periocular region appears in face or iris images, it can be used also in conjunction with these modalities. Features extracted from the periocular region have been also used successfully for gender classification and ethnicity classification, and to study the impact of gender transformation or plastic surgery in the recognition performance. This paper presents a review of the state of the art in periocular biometric research, providing an insight of the most relevant issues and giving a thorough coverage of the existing literature. Future research trends are also briefly discussed.

Place, publisher, year, edition, pages
2016.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-40623ISI: 000381804600017Scopus ID: 2-s2.0-84965104294OAI: oai:DiVA.org:hh-40623DiVA, id: diva2:1353936
Conference
Swedish Symposium on Image Analysis (SSBA), Uppsala, Sweden, March 14-16, 2016
Funder
Knowledge FoundationAvailable from: 2019-09-24 Created: 2019-09-24 Last updated: 2019-10-11

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Alonso-Fernandez, FernandoBigun, Josef

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf