Library of visual descriptors and machine learning algorithms for texture and text detection

In this article, we present the implementation of a solution for the text localization problem. More precisely, the solution presented in this article implements a prototype containing approaches for image characterization based on color and texture visual properties for supporting text region class...

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Autores principales: Conceição, Jhonatas, Torres, Ricardo, Pinto, Allan
Formato: Online
Lenguaje:portugués
Publicado: Universidade Estadual de Campinas 2019
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Acceso en línea:https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2800
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author Conceição, Jhonatas
Torres, Ricardo
Pinto, Allan
author_facet Conceição, Jhonatas
Torres, Ricardo
Pinto, Allan
author_sort Conceição, Jhonatas
collection Portal de Eventos Científicos da UNICAMP
container_reference Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1
description In this article, we present the implementation of a solution for the text localization problem. More precisely, the solution presented in this article implements a prototype containing approaches for image characterization based on color and texture visual properties for supporting text region classification. As a result, we present a comparison study of several classifications systems for detecting text regions.
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institution Universidade Estadual de Campinas
issn 2596-1969
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spelling ojs-article-28002025-09-26T14:39:16Z Library of visual descriptors and machine learning algorithms for texture and text detection Conceição, Jhonatas Torres, Ricardo Pinto, Allan Image classification Text localization Scene text detection In this article, we present the implementation of a solution for the text localization problem. More precisely, the solution presented in this article implements a prototype containing approaches for image characterization based on color and texture visual properties for supporting text region classification. As a result, we present a comparison study of several classifications systems for detecting text regions. Universidade Estadual de Campinas 2019-11-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo de convidado application/pdf https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2800 10.20396/revpibic2720192800 Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1 2596-1969 por https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2800/2802 Copyright (c) 2019 Revista dos Trabalhos de Iniciação Científica da UNICAMP http://creativecommons.org/licenses/by/4.0
spellingShingle Conceição, Jhonatas
Torres, Ricardo
Pinto, Allan
Image classification
Text localization
Scene text detection
Library of visual descriptors and machine learning algorithms for texture and text detection
title Library of visual descriptors and machine learning algorithms for texture and text detection
title_full Library of visual descriptors and machine learning algorithms for texture and text detection
title_fullStr Library of visual descriptors and machine learning algorithms for texture and text detection
title_full_unstemmed Library of visual descriptors and machine learning algorithms for texture and text detection
title_short Library of visual descriptors and machine learning algorithms for texture and text detection
title_sort library of visual descriptors and machine learning algorithms for texture and text detection
topic Image classification
Text localization
Scene text detection
url https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2800
work_keys_str_mv AT conceicaojhonatas libraryofvisualdescriptorsandmachinelearningalgorithmsfortextureandtextdetection
AT torresricardo libraryofvisualdescriptorsandmachinelearningalgorithmsfortextureandtextdetection
AT pintoallan libraryofvisualdescriptorsandmachinelearningalgorithmsfortextureandtextdetection