OcrV1, PascalFrancis, Curation, bibRecord, 000943

Direct extraction of topographic features for gray scale character recognition

Identifieur interne : 000943 ( PascalFrancis/Curation ); précédent : 000942; suivant : 000944

Direct extraction of topographic features for gray scale character recognition

Auteurs : SEONG-WHAN LEE [Corée du Sud] ; YOUNG JOON KIM

Source :

IEEE transactions on pattern analysis and machine intelligence [ 0162-8828 ] ; 1995.

RBID : Pascal:95-0418356

Descripteurs français

Pascal (Inist)
- Traitement image, Reconnaissance caractère, Extraction forme, Forme topographique, Image bruitée, Echelle gris, Principal curvature, Principal orthogonal elements.

English descriptors

KwdEn :
- Character recognition, Gray scale, Image processing, Noisy image, Pattern extraction, Topographic form.

Abstract

Optical character recognition(OCR) traditionally applies to binary-valued imagery although text is always scanned and stored in gray scale. However, binarization of multivalued image may remove important topological information from characters and introduce noise to character background. In order to avoid this problem,it is indispensable to develop a method which can minimize the information loss due to binarization by extracting features directly from gray scale character images. In this paper, we propose a new method for the direct extraction of topographic features from gray scale character images. By comparing the proposed method with Wang and Pavlidis' method, we realized that the proposed method enhanced the performance of topographic feature extraction by computing the directions of principal curvature efficiently and prevented the extraction of unnecessary features. We also show that the proposed method is very effective for gray scale skeletonization compared to Levi and Montanari's method.

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A02	`01`			`@0 ITPIDJ`
A03		`1`		`@0 IEEE trans. pattern anal. mach. intell.`
A05				`@2 17`
A06				`@2 7`
A08	`01`	`1`	`ENG`	`@1 Direct extraction of topographic features for gray scale character recognition`
A11	`01`	`1`		`@1 SEONG-WHAN LEE`
A11	`02`	`1`		`@1 YOUNG JOON KIM`
A14	`01`			`@1 Korea univ., dep. computer sci. @2 Seoul 136-701 @3 KOR @Z 1 aut.`
A20				`@1 724-729`
A21				`@1 1995`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 222T @5 354000051604870090`
A44				`@0 0000`
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A64	`01`	`1`		`@0 IEEE transactions on pattern analysis and machine intelligence`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 Optical character recognition(OCR) traditionally applies to binary-valued imagery although text is always scanned and stored in gray scale. However, binarization of multivalued image may remove important topological information from characters and introduce noise to character background. In order to avoid this problem,it is indispensable to develop a method which can minimize the information loss due to binarization by extracting features directly from gray scale character images. In this paper, we propose a new method for the direct extraction of topographic features from gray scale character images. By comparing the proposed method with Wang and Pavlidis' method, we realized that the proposed method enhanced the performance of topographic feature extraction by computing the directions of principal curvature efficiently and prevented the extraction of unnecessary features. We also show that the proposed method is very effective for gray scale skeletonization compared to Levi and Montanari's method.
C02	`01`	`1`		`@0 001D02C03`
C03	`01`	`X`	`FRE`	`@0 Traitement image @5 01`
C03	`01`	`X`	`ENG`	`@0 Image processing @5 01`
C03	`01`	`X`	`GER`	`@0 Bildverarbeitung @5 01`
C03	`01`	`X`	`SPA`	`@0 Procesamiento imagen @5 01`
C03	`02`	`X`	`FRE`	`@0 Reconnaissance caractère @5 02`
C03	`02`	`X`	`ENG`	`@0 Character recognition @5 02`
C03	`02`	`X`	`SPA`	`@0 Reconocimiento carácter @5 02`
C03	`03`	`X`	`FRE`	`@0 Extraction forme @5 03`
C03	`03`	`X`	`ENG`	`@0 Pattern extraction @5 03`
C03	`03`	`X`	`SPA`	`@0 Extracción forma @5 03`
C03	`04`	`X`	`FRE`	`@0 Forme topographique @5 04`
C03	`04`	`X`	`ENG`	`@0 Topographic form @5 04`
C03	`04`	`X`	`SPA`	`@0 Forma topográfica @5 04`
C03	`05`	`X`	`FRE`	`@0 Image bruitée @5 05`
C03	`05`	`X`	`ENG`	`@0 Noisy image @5 05`
C03	`05`	`X`	`SPA`	`@0 Imagen sonora @5 05`
C03	`06`	`X`	`FRE`	`@0 Echelle gris @5 06`
C03	`06`	`X`	`ENG`	`@0 Gray scale @5 06`
C03	`06`	`X`	`SPA`	`@0 Escala gris @5 06`
C03	`07`	`X`	`FRE`	`@0 Principal curvature @4 INC @5 72`
C03	`08`	`X`	`FRE`	`@0 Principal orthogonal elements @4 INC @5 73`
N21				`@1 233`

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Le document en format XML

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Direct extraction of topographic features for gray scale character recognition

Direct extraction of topographic features for gray scale character recognition

Source :

Descripteurs français

English descriptors

Abstract

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Le document en format XML

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