OcrV1, PascalFrancis, Corpus, bibRecord, 000395

Two template matching approaches to arabic, amharic and latin isolated characters recognition

Identifieur interne : 000395 ( PascalFrancis/Corpus ); précédent : 000394; suivant : 000396

Two template matching approaches to arabic, amharic and latin isolated characters recognition

Auteurs : John Cowell ; Fiaz Hussain

Source :

Machine graphics & vision [ 1230-0535 ] ; 2005.

RBID : Pascal:06-0200198

Descripteurs français

Pascal (Inist)
- Concordance forme, Appariement image, Reconnaissance caractère, Reconnaissance forme, Reconnaissance optique caractère, Texte, Chinois, Signature électronique, Similitude, Arabe, Japonais, Jeu caractère.

English descriptors

KwdEn :
- Arabic, Character recognition, Character set, Chinese, Digital signature, Image matching, Japanese, Optical character recognition, Pattern matching, Pattern recognition, Similarity, Text.

Abstract

With the establishment of commercial OCR systems for Latin text, recent research efforts have been directed at the design of recognition systems for non-Latin scripts, such as Japanese, Cyrillic, Chinese, Hindi, Tibetan, and in particular Arabic. The Unicode 4.0 standard supports 50 scripts that are used across the world, and many, such as Amharic (Ethiopic), have attracted virtually no attention from researchers. An extensive literature review reveals no papers which report on an OCR system for Amharic. This paper describes a normalised technique which can be used for recognition of isolated Arabic, Amharic and Latin characters. Two approaches are considered for identifying the characters by comparing them to a series of templates and using a signature template scheme. The degrees of similarity between pairs of Amharic, Arabic and typical Latin characters are presented in the confusion matrix, and the performance of the two approaches is compared for each of these three character sets.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A08	`01`	`1`	`ENG`	`@1 Two template matching approaches to arabic, amharic and latin isolated characters recognition`
A11	`01`	`1`		`@1 COWELL (John)`
A11	`02`	`1`		`@1 HUSSAIN (Fiaz)`
A14	`01`			`@1 Centre for Computational Intelligence, De Montfort University, The Gateway @2 Leicester, LE1 9BH, England @3 GBR @Z 1 aut.`
A14	`02`			`@1 Dept. of Computing Information Systems, University of Luton,Park Square @2 Luton, LU1 3JU,England @3 GBR @Z 2 aut.`
A20				`@1 213-232`
A21				`@1 2005`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 27544 @5 354000134694410060`
A44				`@0 0000 @1 © 2006 INIST-CNRS. All rights reserved.`
A45				`@0 27 ref.`
A47	`01`	`1`		`@0 06-0200198`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Machine graphics & vision`
A66	`01`			`@0 POL`
C01	`01`		`ENG`	@0 With the establishment of commercial OCR systems for Latin text, recent research efforts have been directed at the design of recognition systems for non-Latin scripts, such as Japanese, Cyrillic, Chinese, Hindi, Tibetan, and in particular Arabic. The Unicode 4.0 standard supports 50 scripts that are used across the world, and many, such as Amharic (Ethiopic), have attracted virtually no attention from researchers. An extensive literature review reveals no papers which report on an OCR system for Amharic. This paper describes a normalised technique which can be used for recognition of isolated Arabic, Amharic and Latin characters. Two approaches are considered for identifying the characters by comparing them to a series of templates and using a signature template scheme. The degrees of similarity between pairs of Amharic, Arabic and typical Latin characters are presented in the confusion matrix, and the performance of the two approaches is compared for each of these three character sets.
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C03	`02`	`3`	`FRE`	`@0 Appariement image @5 07`
C03	`02`	`3`	`ENG`	`@0 Image matching @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`
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C03	`04`	`X`	`ENG`	`@0 Pattern recognition @5 09`
C03	`04`	`X`	`SPA`	`@0 Reconocimiento patrón @5 09`
C03	`05`	`X`	`FRE`	`@0 Reconnaissance optique caractère @5 10`
C03	`05`	`X`	`ENG`	`@0 Optical character recognition @5 10`
C03	`05`	`X`	`SPA`	`@0 Reconocimento óptico de caracteres @5 10`
C03	`06`	`X`	`FRE`	`@0 Texte @5 11`
C03	`06`	`X`	`ENG`	`@0 Text @5 11`
C03	`06`	`X`	`SPA`	`@0 Texto @5 11`
C03	`07`	`X`	`FRE`	`@0 Chinois @5 12`
C03	`07`	`X`	`ENG`	`@0 Chinese @5 12`
C03	`07`	`X`	`SPA`	`@0 Chino @5 12`
C03	`08`	`X`	`FRE`	`@0 Signature électronique @5 13`
C03	`08`	`X`	`ENG`	`@0 Digital signature @5 13`
C03	`08`	`X`	`SPA`	`@0 Firma numérica @5 13`
C03	`09`	`X`	`FRE`	`@0 Similitude @5 14`
C03	`09`	`X`	`ENG`	`@0 Similarity @5 14`
C03	`09`	`X`	`SPA`	`@0 Similitud @5 14`
C03	`10`	`X`	`FRE`	`@0 Arabe @5 18`
C03	`10`	`X`	`ENG`	`@0 Arabic @5 18`
C03	`10`	`X`	`SPA`	`@0 Árabe @5 18`
C03	`11`	`X`	`FRE`	`@0 Japonais @5 19`
C03	`11`	`X`	`ENG`	`@0 Japanese @5 19`
C03	`11`	`X`	`SPA`	`@0 Japonés @5 19`
C03	`12`	`X`	`FRE`	`@0 Jeu caractère @5 20`
C03	`12`	`X`	`ENG`	`@0 Character set @5 20`
C03	`12`	`X`	`SPA`	`@0 Juego caracter @5 20`
N21				`@1 128`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Format Inist (serveur)

NO :	PASCAL 06-0200198 INIST
ET :	Two template matching approaches to arabic, amharic and latin isolated characters recognition
AU :	COWELL (John); HUSSAIN (Fiaz)
AF :	Centre for Computational Intelligence, De Montfort University, The Gateway/Leicester, LE1 9BH, England/Royaume-Uni (1 aut.); Dept. of Computing Information Systems, University of Luton,Park Square/Luton, LU1 3JU,England/Royaume-Uni (2 aut.)
DT :	Publication en série; Niveau analytique
SO :	Machine graphics & vision; ISSN 1230-0535; Pologne; Da. 2005; Vol. 14; No. 2; Pp. 213-232; Bibl. 27 ref.
LA :	Anglais
EA :	With the establishment of commercial OCR systems for Latin text, recent research efforts have been directed at the design of recognition systems for non-Latin scripts, such as Japanese, Cyrillic, Chinese, Hindi, Tibetan, and in particular Arabic. The Unicode 4.0 standard supports 50 scripts that are used across the world, and many, such as Amharic (Ethiopic), have attracted virtually no attention from researchers. An extensive literature review reveals no papers which report on an OCR system for Amharic. This paper describes a normalised technique which can be used for recognition of isolated Arabic, Amharic and Latin characters. Two approaches are considered for identifying the characters by comparing them to a series of templates and using a signature template scheme. The degrees of similarity between pairs of Amharic, Arabic and typical Latin characters are presented in the confusion matrix, and the performance of the two approaches is compared for each of these three character sets.
CC :	001D02C03
FD :	Concordance forme; Appariement image; Reconnaissance caractère; Reconnaissance forme; Reconnaissance optique caractère; Texte; Chinois; Signature électronique; Similitude; Arabe; Japonais; Jeu caractère
ED :	Pattern matching; Image matching; Character recognition; Pattern recognition; Optical character recognition; Text; Chinese; Digital signature; Similarity; Arabic; Japanese; Character set
SD :	Reconocimiento carácter; Reconocimiento patrón; Reconocimento óptico de caracteres; Texto; Chino; Firma numérica; Similitud; Árabe; Japonés; Juego caracter
LO :	INIST-27544.354000134694410060
ID :	06-0200198

Links to Exploration step

Pascal:06-0200198

Le document en format XML

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<front><div type="abstract" xml:lang="en">With the establishment of commercial OCR systems for Latin text, recent research efforts have been directed at the design of recognition systems for non-Latin scripts, such as Japanese, Cyrillic, Chinese, Hindi, Tibetan, and in particular Arabic. The Unicode 4.0 standard supports 50 scripts that are used across the world, and many, such as Amharic (Ethiopic), have attracted virtually no attention from researchers. An extensive literature review reveals no papers which report on an OCR system for Amharic. This paper describes a normalised technique which can be used for recognition of isolated Arabic, Amharic and Latin characters. Two approaches are considered for identifying the characters by comparing them to a series of templates and using a signature template scheme. The degrees of similarity between pairs of Amharic, Arabic and typical Latin characters are presented in the confusion matrix, and the performance of the two approaches is compared for each of these three character sets.</div>
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<ET>Two template matching approaches to arabic, amharic and latin isolated characters recognition</ET>
<AU>COWELL (John); HUSSAIN (Fiaz)</AU>
<AF>Centre for Computational Intelligence, De Montfort University, The Gateway/Leicester, LE1 9BH, England/Royaume-Uni (1 aut.); Dept. of Computing Information Systems, University of Luton,Park Square/Luton, LU1 3JU,England/Royaume-Uni (2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
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<EA>With the establishment of commercial OCR systems for Latin text, recent research efforts have been directed at the design of recognition systems for non-Latin scripts, such as Japanese, Cyrillic, Chinese, Hindi, Tibetan, and in particular Arabic. The Unicode 4.0 standard supports 50 scripts that are used across the world, and many, such as Amharic (Ethiopic), have attracted virtually no attention from researchers. An extensive literature review reveals no papers which report on an OCR system for Amharic. This paper describes a normalised technique which can be used for recognition of isolated Arabic, Amharic and Latin characters. Two approaches are considered for identifying the characters by comparing them to a series of templates and using a signature template scheme. The degrees of similarity between pairs of Amharic, Arabic and typical Latin characters are presented in the confusion matrix, and the performance of the two approaches is compared for each of these three character sets.</EA>
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<ED>Pattern matching; Image matching; Character recognition; Pattern recognition; Optical character recognition; Text; Chinese; Digital signature; Similarity; Arabic; Japanese; Character set</ED>
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Two template matching approaches to arabic, amharic and latin isolated characters recognition

Two template matching approaches to arabic, amharic and latin isolated characters recognition

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