Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11666
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dc.contributor.authorKapadia, Harsh
dc.contributor.authorPatel, Alpesh
dc.date.accessioned2023-04-20T11:06:45Z-
dc.date.available2023-04-20T11:06:45Z-
dc.date.issued2013-06
dc.identifier.issn2320 – 3765
dc.identifier.urihttp://10.1.7.181:1900/jspui/123456789/4375
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11666-
dc.descriptionInternational Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2 (6), June, 2013en_US
dc.description.abstractThis paper predominantly emphases on two algorithms Hough Transform and the Sub-Pixel Edge Detection and their application on 1-Dimensional barcode scanning. The system is meant to verify Barcode on-line. It primarily focuses on two aspects of barcode verification. One is two detect the angle if barcode is skewed in the image and correct the same. The other is to detect the edges of a barcode in real time blurred image using sub-pixel edge detection. First of all we have explained the basic theory of 1-D barcode that was used i.e. EAN-13. Then the Hough Transform and Sub-Pixel Edge Detection are explained in detail. After that I have explained the need of both the algorithm in barcode verification. The paper also embraces MATLAB implementation steps of the system including both this algorithms with results.en_US
dc.publisherIJAREEIEen_US
dc.relation.ispartofseriesITFIC017-3en_US
dc.subjectEAN-13en_US
dc.subjectHough Transformen_US
dc.subjectSub-pixel Edge Detectionen_US
dc.subjectInterpolationen_US
dc.subjectIC Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFIC017en_US
dc.subjectITFIC018
dc.titleApplication Of Hough Transform And Sub-Pixel Edge Detection In 1-D Barcode Scanningen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, E&I

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