Circular Hough Transform based Eye State Detection In Human Face Images

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dc.contributor.authorSoylemez, Omer Faruk
dc.contributor.authorErgen, Burhan
dc.date.accessioned2024-04-24T17:45:03Z
dc.date.available2024-04-24T17:45:03Z
dc.date.issued2013
dc.departmentDicle Üniversitesien_US
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSen_US
dc.description.abstractNowadays 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 pervasion 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 has been offered. Initially, a face image is extracted from a given image. Eye pair images are obtained from this face image, and eyes are acquired from the eye pair images. After preprocessing, existence of circular iris structure is searched with the help of circular Hough transfrom within the eye image. Eyes are decided as open if iris is visible.en_US
dc.identifier.isbn978-1-4673-5563-6
dc.identifier.isbn978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/11468/22402
dc.identifier.wosWOS:000325005300377
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEye State Detectionen_US
dc.subjectCircular Hough Transfromen_US
dc.titleCircular Hough Transform based Eye State Detection In Human Face Imagesen_US
dc.titleCircular Hough Transform based Eye State Detection In Human Face Images
dc.typeConference Objecten_US

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