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Turkish fingerspelling recognition with fast alignment, thick edge detection and correlation with penalization

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dc.contributor.authorAltun, Oguz
dc.contributor.authorAlbayrak, Songued
dc.contributor.institutionauthorVARLI, Songül
dc.date.accessioned2026-06-27T13:00:23Z
dc.date.issued2007
dc.description.abstractFingerspelling is used for words that have no sign, or for words that the sign is unknown. In this work, the signs of Turkish Alphabet are recognized from video images. The methods used are fast alignment, thick edge extraction and correlation with penalization methods. A 99 percent success ratio is achieved.en
dc.identifier.endpage90
dc.identifier.isbn978-1-4244-0719-4
dc.identifier.startpage87
dc.identifier.urihttps://hdl.handle.net/20.500.14981/48879
dc.identifier.wos000252924600023
dc.language.isotur
dc.publisherIEEE
dc.relation.conferenceIEEE 15th Signal Processing and Communications Applications Conference
dc.relation.ispartof2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleTurkish fingerspelling recognition with fast alignment, thick edge detection and correlation with penalization
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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