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dc.contributor.authorArsić, Aleksandraen
dc.contributor.authorJordanski, Milošen
dc.contributor.authorTuba, Milanen
dc.date.accessioned2020-05-22T08:46:08Z-
dc.date.available2020-05-22T08:46:08Z-
dc.date.issued2016-01-08en
dc.identifier.isbn978-1-509-00054-8en
dc.description.abstractLip detection is an important area of research in image processing that has numerous applications. In this paper an improved algorithm for lip detection is proposed. It is based on skin detection using combination of HSV, YCbCr and normalized RGB color models, face detection using largest connected skin region and lip detection after lower part extraction by edge information. Experimental results show that our proposed algorithm, tested on standard benchmark images, exhibits excellent performance and has capacity for improvement.en
dc.publisherIEEE-
dc.relation.ispartof2015 23rd Telecommunications Forum, TELFOR 2015en
dc.subjectface detection | image processing | lip detection | skin detectionen
dc.titleImproved lip detection algorithm based on region segmentation and edge detectionen
dc.typeConference Paperen
dc.relation.conference23rd Telecommunications Forum, TELFOR 2015; Sava Center Belgrade; Serbia; 24 November 2015 through 26 November 2015-
dc.identifier.doi10.1109/TELFOR.2015.7377509en
dc.identifier.scopus2-s2.0-84964503277en
dc.relation.firstpage472en
dc.relation.lastpage475en
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Paper-
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