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Serial Number Identification with Machine Vision

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dc.contributor.author Persaud, Danny
dc.contributor.author Patt, Adam
dc.contributor.author Miculescu, Calin
dc.date.accessioned 2008-10-24T18:05:04Z
dc.date.available 2008-10-24T18:05:04Z
dc.date.issued 2008
dc.identifier.uri http://hdl.handle.net/10214/1776
dc.description.abstract In this paper, DAC consulting presents a new method of acquiring accurate optical character recognition (OCR) results through the use of machine vision. The design consists of implementing a new software called Intellect 1.5, which allows us to preprocess the image by applying a layered aggregate of filters. We then apply an edge detection tool called a fiducial and finally an OCR soft-sensor. Once these layers are applied in order, the software is taught the series of characters to which it must recognize. en
dc.format.extent 178153 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher University of Guelph en
dc.subject image filters en
dc.subject Intellect 1.5 en
dc.subject machine vision en
dc.subject optical character recognition en
dc.subject programmable logic controllers en
dc.subject serial number identification en
dc.subject manufacturing en
dc.subject automation en
dc.title Serial Number Identification with Machine Vision en
dc.type Book chapter en


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