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DC poleHodnotaJazyk
dc.contributor.authorSultana, Madeena
dc.contributor.authorPolash Paul, Padma
dc.contributor.authorGavrilova, Marina
dc.contributor.editorSkala, Václav
dc.date.accessioned2016-01-07T09:36:20Z
dc.date.available2016-01-07T09:36:20Z
dc.date.issued2015
dc.identifier.citationJournal of WSCG. 2015, vol. 23, no. 1, p. 121-129.en
dc.identifier.issn1213–6972 (hardcopy)
dc.identifier.issn1213–6980 (CD-ROM)
dc.identifier.issn1213–6964 (online)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2015/!_2015_Journal_WSCG-No-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/17155
dc.format9 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectbiometrické obrazycs
dc.subjectdetekce okluzecs
dc.subjectsluchové rozpoznávánícs
dc.subjectčástečná okluzecs
dc.subjectklasifikace třídníkucs
dc.subjectvýběr adaptivní funkcecs
dc.titleOcclusion detection and index-based ear recognitionen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedPerson recognition using ear biometric has received significant interest in recent years due to its highly discriminative nature, permanence over time, non-intrusiveness, and easy acquisition process. However, in a realworld scenario, ear image is often partially or fully occluded by hair, earrings, headphones, scarf, and other objects. Moreover, such occlusions may occur during identification process resulting in a dramatic decline of the recognition performance. Therefore, a reliable ear recognition system should be equipped with an automated detection of the presence of occlusions in order to avoid miss-classifications. In this paper, we proposed an efficient ear recognition approach, which is capable of detecting the presence of occlusions and recognizing partial ear samples by adaptively selecting appropriate features indices. The proposed method has been evaluated on a large publicly available database containing wide variations of real occlusions. The experimental results confirm that the prior detection of occlusion and the novel selection procedure for feature indices significantly improve the biometric system recognition accuracy.en
dc.subject.translatedbiometric imagesen
dc.subject.translatedocclusion detectionen
dc.subject.translatedear recognitionen
dc.subject.translatedpartial occlusionen
dc.subject.translatedclassifier selectionen
dc.subject.translatedadaptive feature selectionen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 23, Number 2 (2015)

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Journal of WSCG
  5. Volume 23 (2015)
  6. Volume 23, Number 2 (2015)