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dc.contributor.authorÖktem, R.en_US
dc.contributor.authorÇetin, A.E.en_US
dc.date.accessioned2016-02-08T11:50:10Z
dc.date.available2016-02-08T11:50:10Z
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/11693/27304
dc.description.abstractThis paper addresses the problem of bar code recognition by use of image processing. Bar codes are composed of parallel alternating dark-light stripes; hence they also appear as parallel lines connected at some orientation in a binary edge map. The proposed algorithms exploit that feature and use morphology and free angle thresholding for localization. Edge map is formed by Sobel operator and binary subband decomposition separately, and the two methods are compared in terms of time complexity and performance. Detailed discussion of test results are also presented. ©2005 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.titleProceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2005.1567687en_US
dc.subjectBar code recognitionen_US
dc.subjectBinary edge mapsen_US
dc.subjectBinary subband decompositionen_US
dc.subjectTime complexityen_US
dc.subjectAlgorithmsen_US
dc.subjectBar codesen_US
dc.subjectObject recognitionen_US
dc.subjectProblem solvingen_US
dc.subjectImage processingen_US
dc.titleBar code localization by image processingen_US
dc.title.alternativeİmge işleme yoluyla çubuk kod yersenimien_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage328en_US
dc.citation.epage331en_US
dc.citation.volumeNumber2005en_US
dc.identifier.doi10.1109/SIU.2005.1567687en_US


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