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

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

In 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

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Autor principal: Nava Dueñas, Carlos Fábian
Otros Autores: González Navarro, Félix Fernando
Lenguaje:spa
Publicado: Universidad Autónoma de Baja California. Instituto de Ingeniería 2021
Materias:
Tesis y disertaciones académicas Diseño y construcción
TK7868 .P7 N39 2019
Circuitos impresos
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spelling repositorioinstitucional-20.500.12930-14702023-05-14T15:22:45Z Contributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques Nava Dueñas, Carlos Fábian González Navarro, Félix Fernando Tesis y disertaciones académicas Diseño y construcción TK7868 .P7 N39 2019 Circuitos impresos In 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 2021-05-22T04:18:44Z 2021-05-22T04:18:44Z 2019 https://hdl.handle.net/20.500.12930/1470 spa https://drive.google.com/open?id=1xpi3ZhalG7X9WnNw23c0XaYezca0gryZ http://creativecommons.org/licenses/by-nc-nd/4.0 1 recurso en línea,149 p. ; il. col. pdf application/pdf Mexicali, Baja California Universidad Autónoma de Baja California. Instituto de Ingeniería
institution Repositorio Institucional
collection DSpace
language spa
topic Tesis y disertaciones académicas Diseño y construcción
TK7868 .P7 N39 2019
Circuitos impresos
spellingShingle Tesis y disertaciones académicas Diseño y construcción
TK7868 .P7 N39 2019
Circuitos impresos
Nava Dueñas, Carlos Fábian
Contributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques
description In 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
author2 González Navarro, Félix Fernando
author_facet González Navarro, Félix Fernando
Nava Dueñas, Carlos Fábian
author Nava Dueñas, Carlos Fábian
author_sort Nava Dueñas, Carlos Fábian
title Contributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques
title_short Contributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques
title_full Contributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques
title_fullStr Contributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques
title_full_unstemmed Contributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques
title_sort contributions to ocr for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques
publisher Universidad Autónoma de Baja California. Instituto de Ingeniería
publishDate 2021
_version_ 1792608936330788864

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