OcrV1, PascalFrancis, Corpus, bibRecord, 000284

A new approach for text segmentation using a stroke filter

Identifieur interne : 000284 ( PascalFrancis/Corpus ); précédent : 000283; suivant : 000285

A new approach for text segmentation using a stroke filter

Auteurs : Cheolkon Jung ; QIFENG LIU ; Joongkyu Kim

Source :

Signal processing [ 0165-1684 ] ; 2008.

RBID : Pascal:08-0219729

Descripteurs français

Pascal (Inist)
- Segmentation, Fouillis écho, Algorithme, Reconnaissance optique caractère, Evaluation performance, Base de données, Précision, Robustesse, Extraction information, Reconnaissance forme, Traitement information, Arrière plan.

English descriptors

KwdEn :
- Accuracy, Algorithm, Background, Clutter, Database, Information extraction, Information processing, Optical character recognition, Pattern recognition, Performance evaluation, Robustness, Segmentation.

Abstract

We propose a new method for achieving robust text segmentation in images by using a stroke filter. It is known that to segment text accurately and robustly from a complex background is a very difficult task. Most of the existing methods are sensitive to text color, size, font, and background clutter, because they use simple segmentation methods or require prior knowledge about text shape. In this paper, we attempt to consider the intrinsic characteristics of the text by using the stroke filter and design a new and robust algorithm for text segmentation. First, we describe the stroke filter briefly based on local region analysis. Second, the determination of text color polarity and local region growing procedures are performed successively based on the response of the stroke filter. Finally, the feedback procedure by the recognition score from an optical character recognition (OCR) module is used to improve the performance of text segmentation. By means of experiments on a large database, we demonstrate that the performance of our method is quite impressive from the viewpoints of the accuracy and robustness.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A11	`01`	`1`		`@1 JUNG (Cheolkon)`
A11	`02`	`1`		`@1 QIFENG LIU`
A11	`03`	`1`		`@1 KIM (Joongkyu)`
A14	`01`			`@1 School of Information and Communication Engineering, Sungkyunkwan University, 300 Cheoncheon-dong @2 Suwon, Kyunggido 440-746 @3 KOR @Z 1 aut. @Z 3 aut.`
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A64	`01`	`1`		`@0 Signal processing`
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C01	`01`		`ENG`	@0 We propose a new method for achieving robust text segmentation in images by using a stroke filter. It is known that to segment text accurately and robustly from a complex background is a very difficult task. Most of the existing methods are sensitive to text color, size, font, and background clutter, because they use simple segmentation methods or require prior knowledge about text shape. In this paper, we attempt to consider the intrinsic characteristics of the text by using the stroke filter and design a new and robust algorithm for text segmentation. First, we describe the stroke filter briefly based on local region analysis. Second, the determination of text color polarity and local region growing procedures are performed successively based on the response of the stroke filter. Finally, the feedback procedure by the recognition score from an optical character recognition (OCR) module is used to improve the performance of text segmentation. By means of experiments on a large database, we demonstrate that the performance of our method is quite impressive from the viewpoints of the accuracy and robustness.
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Format Inist (serveur)

NO :	PASCAL 08-0219729 INIST
ET :	A new approach for text segmentation using a stroke filter
AU :	JUNG (Cheolkon); QIFENG LIU; KIM (Joongkyu)
AF :	School of Information and Communication Engineering, Sungkyunkwan University, 300 Cheoncheon-dong/Suwon, Kyunggido 440-746/Corée, République de (1 aut., 3 aut.); Samsung Advanced Institute of Technology/Yongin, Kyunggido 446-712/Corée, République de (2 aut.)
DT :	Publication en série; Niveau analytique
SO :	Signal processing; ISSN 0165-1684; Coden SPRODR; Pays-Bas; Da. 2008; Vol. 88; No. 7; Pp. 1907-1916; Bibl. 22 ref.
LA :	Anglais
EA :	We propose a new method for achieving robust text segmentation in images by using a stroke filter. It is known that to segment text accurately and robustly from a complex background is a very difficult task. Most of the existing methods are sensitive to text color, size, font, and background clutter, because they use simple segmentation methods or require prior knowledge about text shape. In this paper, we attempt to consider the intrinsic characteristics of the text by using the stroke filter and design a new and robust algorithm for text segmentation. First, we describe the stroke filter briefly based on local region analysis. Second, the determination of text color polarity and local region growing procedures are performed successively based on the response of the stroke filter. Finally, the feedback procedure by the recognition score from an optical character recognition (OCR) module is used to improve the performance of text segmentation. By means of experiments on a large database, we demonstrate that the performance of our method is quite impressive from the viewpoints of the accuracy and robustness.
CC :	001D04A05A; 001D04A03
FD :	Segmentation; Fouillis écho; Algorithme; Reconnaissance optique caractère; Evaluation performance; Base de données; Précision; Robustesse; Extraction information; Reconnaissance forme; Traitement information; Arrière plan
ED :	Segmentation; Clutter; Algorithm; Optical character recognition; Performance evaluation; Database; Accuracy; Robustness; Information extraction; Pattern recognition; Information processing; Background
SD :	Segmentación; Confusión eco; Algoritmo; Reconocimento óptico de caracteres; Evaluación prestación; Base dato; Precisión; Robustez; Extracción información; Reconocimiento patrón; Procesamiento información
LO :	INIST-18015.354000172656620230
ID :	08-0219729

Links to Exploration step

Pascal:08-0219729

Le document en format XML

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<server><NO>PASCAL 08-0219729 INIST</NO>
<ET>A new approach for text segmentation using a stroke filter</ET>
<AU>JUNG (Cheolkon); QIFENG LIU; KIM (Joongkyu)</AU>
<AF>School of Information and Communication Engineering, Sungkyunkwan University, 300 Cheoncheon-dong/Suwon, Kyunggido 440-746/Corée, République de (1 aut., 3 aut.); Samsung Advanced Institute of Technology/Yongin, Kyunggido 446-712/Corée, République de (2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Signal processing; ISSN 0165-1684; Coden SPRODR; Pays-Bas; Da. 2008; Vol. 88; No. 7; Pp. 1907-1916; Bibl. 22 ref.</SO>
<LA>Anglais</LA>
<EA>We propose a new method for achieving robust text segmentation in images by using a stroke filter. It is known that to segment text accurately and robustly from a complex background is a very difficult task. Most of the existing methods are sensitive to text color, size, font, and background clutter, because they use simple segmentation methods or require prior knowledge about text shape. In this paper, we attempt to consider the intrinsic characteristics of the text by using the stroke filter and design a new and robust algorithm for text segmentation. First, we describe the stroke filter briefly based on local region analysis. Second, the determination of text color polarity and local region growing procedures are performed successively based on the response of the stroke filter. Finally, the feedback procedure by the recognition score from an optical character recognition (OCR) module is used to improve the performance of text segmentation. By means of experiments on a large database, we demonstrate that the performance of our method is quite impressive from the viewpoints of the accuracy and robustness.</EA>
<CC>001D04A05A; 001D04A03</CC>
<FD>Segmentation; Fouillis écho; Algorithme; Reconnaissance optique caractère; Evaluation performance; Base de données; Précision; Robustesse; Extraction information; Reconnaissance forme; Traitement information; Arrière plan</FD>
<ED>Segmentation; Clutter; Algorithm; Optical character recognition; Performance evaluation; Database; Accuracy; Robustness; Information extraction; Pattern recognition; Information processing; Background</ED>
<SD>Segmentación; Confusión eco; Algoritmo; Reconocimento óptico de caracteres; Evaluación prestación; Base dato; Precisión; Robustez; Extracción información; Reconocimiento patrón; Procesamiento información</SD>
<LO>INIST-18015.354000172656620230</LO>
<ID>08-0219729</ID>
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A new approach for text segmentation using a stroke filter

A new approach for text segmentation using a stroke filter

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