OcrV1, PascalFrancis, Corpus, bibRecord, 000191

Non-uniform slant estimation and correction for Farsi/Arabic handwritten words

Identifieur interne : 000191 ( PascalFrancis/Corpus ); précédent : 000190; suivant : 000192

Non-uniform slant estimation and correction for Farsi/Arabic handwritten words

Auteurs : Majid Ziaratban ; Karim Faez

Source :

International journal on document analysis and recognition : (Print) [ 1433-2833 ] ; 2009.

RBID : Pascal:10-0182400

Descripteurs français

Pascal (Inist)
- Reconnaissance optique caractère, Caractère manuscrit, Reconnaissance caractère, Langage spécification, Arabe, Correction erreur, Erreur estimation, Estimation erreur.

English descriptors

KwdEn :
- Arabic, Character recognition, Error correction, Error estimation, Estimation error, Manuscript character, Optical character recognition, Specification language.

Abstract

Slant correction is an important part of the normalization task in OCR applications. Due to some special specifications of Farsi and Arabic manuscripts, conventional deslanting methods proposed for other languages do not work properly. In this paper, a fast method is first introduced to estimate the overall tilt of a handwritten word based on directional filters. After overall deslanting, a novel non-uniform slant estimation algorithm computes the remaining slant of each near-vertical stroke of the-word, separately. Each candidate stroke is traced and its slant is calculated. A non-uniform slant correction algorithm is also proposed to reduce the remaining slants of each candidate stroke keeping the dis- tortions of other strokes of the word at a minimum level. Thanks to the special characteristics of Farsi/Arabic scripts, slants are estimated in a specific strip of the written words. A comparison between our approach and three other prevalent methods is drawn. Experiments show that the proposed overall slant estimation method not only represents the least estimation error, but is also the fastest algorithm. The best results are achieved using the proposed overall and non-uniform deslanting methods. It is concluded that successful results can be achieved by considering the special specifications of these two languages.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 1433-2833`
A03		`1`		`@0 Int. j. doc. anal. recognit. : (Print)`
A05				`@2 12`
A06				`@2 4`
A08	`01`	`1`	`ENG`	`@1 Non-uniform slant estimation and correction for Farsi/Arabic handwritten words`
A11	`01`	`1`		`@1 ZIARATBAN (Majid)`
A11	`02`	`1`		`@1 FAEZ (Karim)`
A14	`01`			`@1 Electrical Engineering Department, Amirkabir University of Technology, 424 Hafez Ave @2 15916-34311 Tehran @3 IRN @Z 1 aut. @Z 2 aut.`
A20				`@1 249-267`
A21				`@1 2009`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 26790 @5 354000171651020020`
A44				`@0 0000 @1 © 2010 INIST-CNRS. All rights reserved.`
A45				`@0 29 ref.`
A47	`01`	`1`		`@0 10-0182400`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 International journal on document analysis and recognition : (Print)`
A66	`01`			`@0 DEU`
C01	`01`		`ENG`	@0 Slant correction is an important part of the normalization task in OCR applications. Due to some special specifications of Farsi and Arabic manuscripts, conventional deslanting methods proposed for other languages do not work properly. In this paper, a fast method is first introduced to estimate the overall tilt of a handwritten word based on directional filters. After overall deslanting, a novel non-uniform slant estimation algorithm computes the remaining slant of each near-vertical stroke of the-word, separately. Each candidate stroke is traced and its slant is calculated. A non-uniform slant correction algorithm is also proposed to reduce the remaining slants of each candidate stroke keeping the dis- tortions of other strokes of the word at a minimum level. Thanks to the special characteristics of Farsi/Arabic scripts, slants are estimated in a specific strip of the written words. A comparison between our approach and three other prevalent methods is drawn. Experiments show that the proposed overall slant estimation method not only represents the least estimation error, but is also the fastest algorithm. The best results are achieved using the proposed overall and non-uniform deslanting methods. It is concluded that successful results can be achieved by considering the special specifications of these two languages.
C02	`01`	`X`		`@0 001D02C03`
C02	`02`	`X`		`@0 001D02B02`
C03	`01`	`X`	`FRE`	`@0 Reconnaissance optique caractère @5 06`
C03	`01`	`X`	`ENG`	`@0 Optical character recognition @5 06`
C03	`01`	`X`	`SPA`	`@0 Reconocimento óptico de caracteres @5 06`
C03	`02`	`X`	`FRE`	`@0 Caractère manuscrit @5 07`
C03	`02`	`X`	`ENG`	`@0 Manuscript character @5 07`
C03	`02`	`X`	`SPA`	`@0 Carácter manuscrito @5 07`
C03	`03`	`X`	`FRE`	`@0 Reconnaissance caractère @5 08`
C03	`03`	`X`	`ENG`	`@0 Character recognition @5 08`
C03	`03`	`X`	`SPA`	`@0 Reconocimiento carácter @5 08`
C03	`04`	`X`	`FRE`	`@0 Langage spécification @5 09`
C03	`04`	`X`	`ENG`	`@0 Specification language @5 09`
C03	`04`	`X`	`SPA`	`@0 Lenguaje especificación @5 09`
C03	`05`	`X`	`FRE`	`@0 Arabe @5 18`
C03	`05`	`X`	`ENG`	`@0 Arabic @5 18`
C03	`05`	`X`	`SPA`	`@0 Árabe @5 18`
C03	`06`	`X`	`FRE`	`@0 Correction erreur @5 23`
C03	`06`	`X`	`ENG`	`@0 Error correction @5 23`
C03	`06`	`X`	`SPA`	`@0 Corrección error @5 23`
C03	`07`	`X`	`FRE`	`@0 Erreur estimation @5 24`
C03	`07`	`X`	`ENG`	`@0 Estimation error @5 24`
C03	`07`	`X`	`SPA`	`@0 Error estimación @5 24`
C03	`08`	`X`	`FRE`	`@0 Estimation erreur @5 25`
C03	`08`	`X`	`ENG`	`@0 Error estimation @5 25`
C03	`08`	`X`	`SPA`	`@0 Estimación error @5 25`
N21				`@1 123`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Format Inist (serveur)

NO :	PASCAL 10-0182400 INIST
ET :	Non-uniform slant estimation and correction for Farsi/Arabic handwritten words
AU :	ZIARATBAN (Majid); FAEZ (Karim)
AF :	Electrical Engineering Department, Amirkabir University of Technology, 424 Hafez Ave/15916-34311 Tehran/Iran (1 aut., 2 aut.)
DT :	Publication en série; Niveau analytique
SO :	International journal on document analysis and recognition : (Print); ISSN 1433-2833; Allemagne; Da. 2009; Vol. 12; No. 4; Pp. 249-267; Bibl. 29 ref.
LA :	Anglais
EA :	Slant correction is an important part of the normalization task in OCR applications. Due to some special specifications of Farsi and Arabic manuscripts, conventional deslanting methods proposed for other languages do not work properly. In this paper, a fast method is first introduced to estimate the overall tilt of a handwritten word based on directional filters. After overall deslanting, a novel non-uniform slant estimation algorithm computes the remaining slant of each near-vertical stroke of the-word, separately. Each candidate stroke is traced and its slant is calculated. A non-uniform slant correction algorithm is also proposed to reduce the remaining slants of each candidate stroke keeping the dis- tortions of other strokes of the word at a minimum level. Thanks to the special characteristics of Farsi/Arabic scripts, slants are estimated in a specific strip of the written words. A comparison between our approach and three other prevalent methods is drawn. Experiments show that the proposed overall slant estimation method not only represents the least estimation error, but is also the fastest algorithm. The best results are achieved using the proposed overall and non-uniform deslanting methods. It is concluded that successful results can be achieved by considering the special specifications of these two languages.
CC :	001D02C03; 001D02B02
FD :	Reconnaissance optique caractère; Caractère manuscrit; Reconnaissance caractère; Langage spécification; Arabe; Correction erreur; Erreur estimation; Estimation erreur
ED :	Optical character recognition; Manuscript character; Character recognition; Specification language; Arabic; Error correction; Estimation error; Error estimation
SD :	Reconocimento óptico de caracteres; Carácter manuscrito; Reconocimiento carácter; Lenguaje especificación; Árabe; Corrección error; Error estimación; Estimación error
LO :	INIST-26790.354000171651020020
ID :	10-0182400

Links to Exploration step

Pascal:10-0182400

Le document en format XML

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<ET>Non-uniform slant estimation and correction for Farsi/Arabic handwritten words</ET>
<AU>ZIARATBAN (Majid); FAEZ (Karim)</AU>
<AF>Electrical Engineering Department, Amirkabir University of Technology, 424 Hafez Ave/15916-34311 Tehran/Iran (1 aut., 2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
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<EA>Slant correction is an important part of the normalization task in OCR applications. Due to some special specifications of Farsi and Arabic manuscripts, conventional deslanting methods proposed for other languages do not work properly. In this paper, a fast method is first introduced to estimate the overall tilt of a handwritten word based on directional filters. After overall deslanting, a novel non-uniform slant estimation algorithm computes the remaining slant of each near-vertical stroke of the-word, separately. Each candidate stroke is traced and its slant is calculated. A non-uniform slant correction algorithm is also proposed to reduce the remaining slants of each candidate stroke keeping the dis- tortions of other strokes of the word at a minimum level. Thanks to the special characteristics of Farsi/Arabic scripts, slants are estimated in a specific strip of the written words. A comparison between our approach and three other prevalent methods is drawn. Experiments show that the proposed overall slant estimation method not only represents the least estimation error, but is also the fastest algorithm. The best results are achieved using the proposed overall and non-uniform deslanting methods. It is concluded that successful results can be achieved by considering the special specifications of these two languages.</EA>
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Non-uniform slant estimation and correction for Farsi/Arabic handwritten words

Non-uniform slant estimation and correction for Farsi/Arabic handwritten words

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Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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