Eye location and eye state detection in facial images using circular Hough transform

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dc.contributor.authorSöylemez, Ömer Faruk
dc.contributor.authorErgen, Burhan
dc.contributor.orcid0000-0002-4076-5230
dc.date.accessioned2024-04-24T17:56:03Z
dc.date.available2024-04-24T17:56:03Z
dc.date.issued2013
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description12th IFIP TC8 International Conference on Computer Information Systems and Industrial Management, CISIM 2013 -- 25 September 2013 through 27 September 2013 -- Krakow-- 99900en_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.identifier.citationSöylemez, Ö. F. ve Ergen, B.(2023). Eye location and eye state detection in facial images using circular Hough transform. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8104, 141-147.
dc.identifier.doi10.1007/978-3-642-40925-7_14
dc.identifier.endpage147en_US
dc.identifier.isbn9783642409240
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-84885221326
dc.identifier.scopusqualityQ3
dc.identifier.startpage141en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-642-40925-7_14
dc.identifier.urihttps://hdl.handle.net/11468/23226
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-642-40925-7_14
dc.identifier.volume8104 LNCSen_US
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCircular hough transformen_US
dc.subjectEye state detectionen_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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