Eye Location and Eye State Detection in Facial Images Using Circular Hough Transform

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dc.contributor.authorSoylemez, Omer Faruk
dc.contributor.authorErgen, Burhan
dc.date.accessioned2024-04-24T17:45:06Z
dc.date.available2024-04-24T17:45:06Z
dc.date.issued2013
dc.departmentDicle Üniversitesien_US
dc.description12th IFIP TC8 International Conference on Computer Information Systems and Industrial Management Applications (CISIM) -- SEP 25-27, 2013 -- Krakow, POLANDen_US
dc.description.abstractRecently, eye states are used as inputs to various applications such as facial expression recognition systems, human-computer interaction and driver fatigue detection systems. Especially with the prominence of human computer interaction, eye state detection has drawn great attention in the past decade. In this study, an eye state detection system based on Circular Hough Transform (CHT) has been offered. Initially, face and eye images are extracted from given gray-level images. After some preprocessing steps, existence of circular iris structure is searched within the extracted eye image using CHT. Existence of circular iris structure is searched within the eye image with the help of circular Hough transform. Eyes are decided as open if iris could identified as a circle.en_US
dc.description.sponsorshipIFIP TC8en_US
dc.identifier.endpage147en_US
dc.identifier.isbn978-3-642-40925-7
dc.identifier.isbn978-3-642-40924-0
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.startpage141en_US
dc.identifier.urihttps://hdl.handle.net/11468/22419
dc.identifier.volume8104en_US
dc.identifier.wosWOS:000334043200014
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofComputer Information Systems and Industrial Management, Cisim 2013
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEye State Detectionen_US
dc.subjectCircular Hough Transformen_US
dc.titleEye Location and Eye State Detection in Facial Images Using Circular Hough Transformen_US
dc.titleEye Location and Eye State Detection in Facial Images Using Circular Hough Transform
dc.typeConference Objecten_US

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