A Fast Hough Transform Approximation and Its Application for Barcode Localization

Simple item page
dc.contributor.author Safran, Mehmet Ilhami
dc.contributor.author Oektem, Rusen
dc.date.accessioned 2024-10-06T10:57:22Z
dc.date.available 2024-10-06T10:57:22Z
dc.date.issued 2007
dc.department Atılım University en_US
dc.department-temp [Safran, Mehmet Ilhami; Oektem, Rusen] Atilim Univ, Elekt & Elekt Muhendisligi Bolumu, Ankara, Turkey en_US
dc.description.abstract This paper addresses barcode localization in images acquired by wireles cameras. For this purpose, a fast Hough transform approximation by use of a sliding mask is developed. The approximation decomposes the lines at different orientations into distinct bitplanes. Barcode localization is achieved by considering the high density locations in the bitplanes via morphology and profiling. The time complexity of the proposed approximation is lower than the previously proposed fast Hough transform, though it achieves the equal performance in localization of barcodes. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 0
dc.identifier.endpage 272 en_US
dc.identifier.isbn 9781424407194
dc.identifier.startpage 269 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14411/8708
dc.identifier.wos WOS:000252924600068
dc.language.iso tr en_US
dc.publisher Ieee en_US
dc.relation.ispartof IEEE 15th Signal Processing and Communications Applications Conference -- JUN 11-13, 2007 -- Eskisehir, TURKEY en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject [No Keyword Available] en_US
dc.title A Fast Hough Transform Approximation and Its Application for Barcode Localization en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication

Files

Collections

WoS