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

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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 im...

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Autores principales:	Rais, M., Goussies, N.A., Mejail, M.
Formato:	Artículo publishedVersion
Lenguaje:	Inglés
Publicado:	2011
Materias:	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
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p149_Rais
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paperaa:paper_03029743_v7042LNCS_n_p149_Rais
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spelling	paperaa:paper_03029743_v7042LNCS_n_p149_Rais2023-06-12T16:47:21Z Using adaptive run length smoothing algorithm for accurate text localization in images Lect. Notes Comput. Sci. 2011;7042 LNCS:149-156 Rais, M. Goussies, N.A. Mejail, 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 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. 2011 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p149_Rais
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language	Inglés
orig_language_str_mv	eng
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
spellingShingle	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 Rais, M. Goussies, N.A. Mejail, M. Using adaptive run length smoothing algorithm for accurate text localization in images
topic_facet	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
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.
format	Artículo Artículo publishedVersion
author	Rais, M. Goussies, N.A. Mejail, M.
author_facet	Rais, M. Goussies, N.A. Mejail, M.
author_sort	Rais, M.
title	Using adaptive run length smoothing algorithm for accurate text localization in images
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
publishDate	2011
url	http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p149_Rais
work_keys_str_mv	AT raism usingadaptiverunlengthsmoothingalgorithmforaccuratetextlocalizationinimages AT goussiesna usingadaptiverunlengthsmoothingalgorithmforaccuratetextlocalizationinimages AT mejailm usingadaptiverunlengthsmoothingalgorithmforaccuratetextlocalizationinimages
_version_	1769810390954278912

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

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