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Contributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques

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dc.contributor.authorNava Dueñas, Carlos Fábian
dc.contributor.directorGonzález Navarro, Félix Fernando
dc.coverage.placeofpublicationMexicali, Baja California
dc.date.accessioned2021-05-22T04:18:44Z
dc.date.available2021-05-22T04:18:44Z
dc.date.issued2019
dc.degree.deparmentUniversidad Autónoma de Baja California, Instituto de Ingeniería, Mexicali
dc.degree.grantorTesis de Doctorado
dc.degree.nameMaestría y Doctorado en Ciencias e Ingeniería
dc.description.abstractIn the last few decades, new computer vision technologies and image processing techniques have been very important in the improvement and automation of manual processes in many technical areas, e.g., in the semiconductor industry. In this thesis, we
dc.format.extent1 recurso en línea,149 p. ; il. col.
dc.format.mimetypepdf
dc.identifier.urihttps://hdl.handle.net/20.500.12930/1470
dc.language.isospa
dc.publisherUniversidad Autónoma de Baja California. Instituto de Ingeniería
dc.relation.urihttps://drive.google.com/open?id=1xpi3ZhalG7X9WnNw23c0XaYezca0gryZ
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectTesis y disertaciones académicas Diseño y construcción
dc.subject.lccTK7868 .P7 N39 2019
dc.subject.lembCircuitos impresos
dc.titleContributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques
dc.uabc.bilbiotecaMEXICALI
dc.uabc.identifier236150
dc.uabc.numInventarioMXL122270
dc.uabc.typeMaterialTESIS
dcterms.accessRightsopenAccess
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