Using adaptive run length smoothing algorithm for accurate text localization in images

Autores
Rais, M.; Goussies, N.A.; Mejail, M.
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Text information in images and videos is frequently a key factor for information indexing and retrieval systems. However, text detection in images is a difficult task since it is often embedded in complex backgrounds. In this paper, we propose an accurate text detection and localization method in images based on stroke information and the Adaptive Run Lenght Smoothing Algorithm. Experimental results show that the proposed approach is accurate, has high recall and is robust to various text sizes, fonts, colors and languages. © 2011 Springer-Verlag.
Fil:Rais, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fuente
Lect. Notes Comput. Sci. 2011;7042 LNCS:149-156
Materia
Complex background
Information indexing
Key factors
Run length smoothing algorithms
Smoothing algorithms
Text detection
Text information
Text localization
Algorithms
Computer vision
Information retrieval
Pattern recognition systems
Search engines
Character recognition
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_03029743_v7042LNCS_n_p149_Rais
Acceder
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oai_identifier_str paperaa:paper_03029743_v7042LNCS_n_p149_Rais
network_acronym_str BDUBAFCEN
repository_id_str 1896
network_name_str Biblioteca Digital (UBA-FCEN)
spelling Using adaptive run length smoothing algorithm for accurate text localization in imagesRais, M.Goussies, N.A.Mejail, M.Complex backgroundInformation indexingKey factorsRun length smoothing algorithmsSmoothing algorithmsText detectionText informationText localizationAlgorithmsComputer visionInformation retrievalPattern recognition systemsSearch enginesCharacter recognitionText information in images and videos is frequently a key factor for information indexing and retrieval systems. However, text detection in images is a difficult task since it is often embedded in complex backgrounds. In this paper, we propose an accurate text detection and localization method in images based on stroke information and the Adaptive Run Lenght Smoothing Algorithm. Experimental results show that the proposed approach is accurate, has high recall and is robust to various text sizes, fonts, colors and languages. © 2011 Springer-Verlag.Fil:Rais, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2011info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p149_RaisLect. Notes Comput. Sci. 2011;7042 LNCS:149-156reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-29T13:43:10Zpaperaa:paper_03029743_v7042LNCS_n_p149_RaisInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-29 13:43:10.952Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv Using adaptive run length smoothing algorithm for accurate text localization in images
title Using adaptive run length smoothing algorithm for accurate text localization in images
spellingShingle Using adaptive run length smoothing algorithm for accurate text localization in images
Rais, M.
Complex background
Information indexing
Key factors
Run length smoothing algorithms
Smoothing algorithms
Text detection
Text information
Text localization
Algorithms
Computer vision
Information retrieval
Pattern recognition systems
Search engines
Character recognition
title_short Using adaptive run length smoothing algorithm for accurate text localization in images
title_full Using adaptive run length smoothing algorithm for accurate text localization in images
title_fullStr Using adaptive run length smoothing algorithm for accurate text localization in images
title_full_unstemmed Using adaptive run length smoothing algorithm for accurate text localization in images
title_sort Using adaptive run length smoothing algorithm for accurate text localization in images
dc.creator.none.fl_str_mv Rais, M.
Goussies, N.A.
Mejail, M.
author Rais, M.
author_facet Rais, M.
Goussies, N.A.
Mejail, M.
author_role author
author2 Goussies, N.A.
Mejail, M.
author2_role author
author
dc.subject.none.fl_str_mv Complex background
Information indexing
Key factors
Run length smoothing algorithms
Smoothing algorithms
Text detection
Text information
Text localization
Algorithms
Computer vision
Information retrieval
Pattern recognition systems
Search engines
Character recognition
topic Complex background
Information indexing
Key factors
Run length smoothing algorithms
Smoothing algorithms
Text detection
Text information
Text localization
Algorithms
Computer vision
Information retrieval
Pattern recognition systems
Search engines
Character recognition
dc.description.none.fl_txt_mv Text information in images and videos is frequently a key factor for information indexing and retrieval systems. However, text detection in images is a difficult task since it is often embedded in complex backgrounds. In this paper, we propose an accurate text detection and localization method in images based on stroke information and the Adaptive Run Lenght Smoothing Algorithm. Experimental results show that the proposed approach is accurate, has high recall and is robust to various text sizes, fonts, colors and languages. © 2011 Springer-Verlag.
Fil:Rais, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
description Text information in images and videos is frequently a key factor for information indexing and retrieval systems. However, text detection in images is a difficult task since it is often embedded in complex backgrounds. In this paper, we propose an accurate text detection and localization method in images based on stroke information and the Adaptive Run Lenght Smoothing Algorithm. Experimental results show that the proposed approach is accurate, has high recall and is robust to various text sizes, fonts, colors and languages. © 2011 Springer-Verlag.
publishDate 2011
dc.date.none.fl_str_mv 2011
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p149_Rais
url http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p149_Rais
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Lect. Notes Comput. Sci. 2011;7042 LNCS:149-156
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
collection Biblioteca Digital (UBA-FCEN)
instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
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score 13.070432

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