EFFECT OF EYELID AND EYELASH OCCLUSIONS ON IRIS IMAGES USING SUBPATTERN-BASED APPROACHES

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dc.contributor.authorEskandari, Maryam
dc.contributor.authorToygar, Oensen
dc.date.accessioned2026-02-06T18:28:22Z
dc.date.issued2010
dc.departmentDoğu Akdeniz Üniversitesi
dc.description5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control -- SEP 02-04, 2009 -- Famagusta, CYPRUS
dc.description.abstractThe effect of eyelid and eyelash occlusions on iris images is investigated in this study using subpattern-based approaches. Principal Component Analysis (PCA), subpattern-based PCA (spPCA) and modular PCA (mPCA) methods are used as feature extractors to recognize occluded iris images. In order to eliminate the effect of illumination changes, histogram equalization and mean-and-variance normalization techniques are used. Various experiments are carried out on UBIRIS, CASIA and MMU iris databases to demonstrate the effect of eyelid and eyelash occlusions on iris images. The results of the experiments are consistent with the results of other biometrics systems using PCA, spPCA and mPCA approaches.
dc.identifier.endpage120
dc.identifier.isbn978-1-4244-3429-9
dc.identifier.orcid0000-0001-7402-9058
dc.identifier.scopusqualityN/A
dc.identifier.startpage117
dc.identifier.urihttps://hdl.handle.net/11129/10876
dc.identifier.wosWOS:000287219100030
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2009 Fifth International Conference on Soft Computing, Computing With Words and Perceptions in System Analysis, Decision and Control
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectIris recognition
dc.subjectPCA
dc.subjectsubpattern-based approaches
dc.subjectocclusion
dc.titleEFFECT OF EYELID AND EYELASH OCCLUSIONS ON IRIS IMAGES USING SUBPATTERN-BASED APPROACHES
dc.typeConference Object

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