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A two-stage visual Turkish sign language recognition system based on global and local features

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dc.contributor.authorHaberdar, Hakan
dc.contributor.authorAlbayrak, Songill
dc.contributor.institutionauthorVARLI, Songül
dc.date.accessioned2026-06-27T13:00:25Z
dc.date.issued2006
dc.description.abstractIn order to provide communication between the deaf-dumb people and the hearing people, a two-stage system translating Turkish Sign Language into Turkish is developed by using vision based approach. Hidden Markov models are utilized to determine the global feature group in the dynamic gesture recognition stage, and k nearest neighbor algorithm is used to compare the local features in the static gesture recognition stage. The system can perform person dependent recognition of 172 isolated signs.en
dc.identifier.eissn1611-3349
dc.identifier.endpage37
dc.identifier.isbn3-540-45764-X
dc.identifier.issn0302-9743
dc.identifier.startpage29
dc.identifier.urihttps://hdl.handle.net/20.500.14981/48886
dc.identifier.volume4203
dc.identifier.wos000241647800005
dc.language.isoeng
dc.publisherSPRINGER-VERLAG BERLIN
dc.relation.conference16th International Symposium on Methodologies for Intelligent Systems
dc.relation.ispartofFOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS
dc.subjectComputer Science
dc.titleA two-stage visual Turkish sign language recognition system based on global and local features
dc.typeArticle; Proceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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