OcrV1, PascalFrancis, Curation, bibRecord, 000584

A blackboard approach towards integrated Farsi OCR system

Identifieur interne : 000584 ( PascalFrancis/Curation ); précédent : 000583; suivant : 000585

A blackboard approach towards integrated Farsi OCR system

Auteurs : Hossein Khosravi [Iran] ; Ehsanollah Kabir [Iran]

Source :

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

RBID : Pascal:10-0180822

Descripteurs français

Pascal (Inist)
- Reconnaissance caractère, Reconnaissance optique caractère, Texte, Système information, Classification, Analyse statistique, Approche probabiliste, Extraction forme, Segmentation.
Wicri :
- topic : Classification.

English descriptors

KwdEn :
- Character recognition, Classification, Information system, Optical character recognition, Pattern extraction, Probabilistic approach, Segmentation, Statistical analysis, Text.

Abstract

An integrated OCR system for Farsi text is proposed. The system uses information from several knowledge sources (KSs) and manages them in a blackboard approach. Some KSs like classifiers are acquired a priori through an offline training process while others like statistical features are extracted online while recognizing. An arbiter controls the interactions between the solution blackboard and KSs. The system has been tested on 20 real-life scanned documents with ten popular Farsi fonts and a recognition rate of 97.05% in word level and 99.03% in character level has been achieved.

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A11	`01`	`1`		`@1 KHOSRAVI (Hossein)`
A11	`02`	`1`		`@1 KABIR (Ehsanollah)`
A14	`01`			`@1 Department of Electrical Engineering, Tarbiat Modarres University @2 Tehran @3 IRN @Z 1 aut. @Z 2 aut.`
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C01	`01`		`ENG`	@0 An integrated OCR system for Farsi text is proposed. The system uses information from several knowledge sources (KSs) and manages them in a blackboard approach. Some KSs like classifiers are acquired a priori through an offline training process while others like statistical features are extracted online while recognizing. An arbiter controls the interactions between the solution blackboard and KSs. The system has been tested on 20 real-life scanned documents with ten popular Farsi fonts and a recognition rate of 97.05% in word level and 99.03% in character level has been achieved.
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C03	`02`	`X`	`SPA`	`@0 Reconocimento óptico de caracteres @5 07`
C03	`03`	`X`	`FRE`	`@0 Texte @5 08`
C03	`03`	`X`	`ENG`	`@0 Text @5 08`
C03	`03`	`X`	`SPA`	`@0 Texto @5 08`
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C03	`07`	`X`	`ENG`	`@0 Probabilistic approach @5 24`
C03	`07`	`X`	`SPA`	`@0 Enfoque probabilista @5 24`
C03	`08`	`X`	`FRE`	`@0 Extraction forme @5 25`
C03	`08`	`X`	`ENG`	`@0 Pattern extraction @5 25`
C03	`08`	`X`	`SPA`	`@0 Extracción forma @5 25`
C03	`09`	`X`	`FRE`	`@0 Segmentation @5 26`
C03	`09`	`X`	`ENG`	`@0 Segmentation @5 26`
C03	`09`	`X`	`SPA`	`@0 Segmentación @5 26`
N21				`@1 123`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

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Le document en format XML

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<front><div type="abstract" xml:lang="en">An integrated OCR system for Farsi text is proposed. The system uses information from several knowledge sources (KSs) and manages them in a blackboard approach. Some KSs like classifiers are acquired a priori through an offline training process while others like statistical features are extracted online while recognizing. An arbiter controls the interactions between the solution blackboard and KSs. The system has been tested on 20 real-life scanned documents with ten popular Farsi fonts and a recognition rate of 97.05% in word level and 99.03% in character level has been achieved.</div>
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A blackboard approach towards integrated Farsi OCR system

A blackboard approach towards integrated Farsi OCR system

Source :

Descripteurs français

English descriptors

Abstract

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Links to Exploration step

Le document en format XML

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