OcrV1, PascalFrancis, Corpus, bibRecord, 000A86

Model-based analysis and understanding of check forms

Identifieur interne : 000A86 ( PascalFrancis/Corpus ); précédent : 000A85; suivant : 000A87

Model-based analysis and understanding of check forms

Auteurs : THIEN MINH HA ; H. Bunke

Source :

International journal of pattern recognition and artificial intelligence [ 0218-0014 ] ; 1994.

RBID : Pascal:95-0061784

Descripteurs français

Pascal (Inist)
- Reconnaissance forme, Traitement image, Reconnaissance caractère, Codage binaire, Segmentation, Couplage graphe, Analyse automatique, Système automatique, Temps calcul, Form processing, OCR.

English descriptors

KwdEn :
- Automatic analysis, Automatic system, Binary coding, Character recognition, Computation time, Graph matching, Image processing, Pattern recognition, Segmentation.

Abstract

Check forms are used by many people in daily life for money remittances. Surprisingly, the processing of these forms at banks and post offices is only partly automated. In this paper, we consider a particular kind of form, viz., the GIRO check forms used in Switzerland. We will describe a fully automatic system which is able to recognise the financial institution, the name and address of the receiver, and the account number on a GIRO check. The system comprises procedures for binarization, segmentation, model matching, and optical character recognition (OCR). Experiments on a sample set of 48 checks have shown promising results in terms of both computation time and recognition accuracy

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 0218-0014`
A03		`1`		`@0 Int. j. pattern recogn. artif. intell.`
A05				`@2 8`
A06				`@2 5`
A08	`01`	`1`	`ENG`	`@1 Model-based analysis and understanding of check forms`
A09	`01`	`1`	`ENG`	`@1 Document image analysis`
A11	`01`	`1`		`@1 THIEN MINH HA`
A11	`02`	`1`		`@1 BUNKE (H.)`
A12	`01`	`1`		`@1 BUNKE (H.) @9 ed.`
A12	`02`	`1`		`@1 WANG (P. S. P.) @9 ed.`
A12	`03`	`1`		`@1 BAIRD (H.) @9 ed.`
A14	`01`			`@1 Univ. Berne, Inst. Informatik Angewandte Mathematik @2 3012 Bern @3 CHE`
A15	`01`			`@1 Univ. Bern @2 Bern @3 CHE @Z 1 aut.`
A20				`@1 1053-1080`
A21				`@1 1994`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 22088 @5 354000057559550040`
A44				`@0 0000`
A45				`@0 17 ref.`
A47	`01`	`1`		`@0 95-0061784`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 International journal of pattern recognition and artificial intelligence`
A66	`01`			`@0 SGP`
C01	`01`		`ENG`	@0 Check forms are used by many people in daily life for money remittances. Surprisingly, the processing of these forms at banks and post offices is only partly automated. In this paper, we consider a particular kind of form, viz., the GIRO check forms used in Switzerland. We will describe a fully automatic system which is able to recognise the financial institution, the name and address of the receiver, and the account number on a GIRO check. The system comprises procedures for binarization, segmentation, model matching, and optical character recognition (OCR). Experiments on a sample set of 48 checks have shown promising results in terms of both computation time and recognition accuracy
C02	`01`	`X`		`@0 001D02C03`
C03	`01`	`X`	`FRE`	`@0 Reconnaissance forme @5 67`
C03	`01`	`X`	`ENG`	`@0 Pattern recognition @5 67`
C03	`01`	`X`	`GER`	`@0 Mustererkennung @5 67`
C03	`01`	`X`	`SPA`	`@0 Reconocimiento patrón @5 67`
C03	`02`	`X`	`FRE`	`@0 Traitement image @5 68`
C03	`02`	`X`	`ENG`	`@0 Image processing @5 68`
C03	`02`	`X`	`GER`	`@0 Bildverarbeitung @5 68`
C03	`02`	`X`	`SPA`	`@0 Procesamiento imagen @5 68`
C03	`03`	`X`	`FRE`	`@0 Reconnaissance caractère @5 69`
C03	`03`	`X`	`ENG`	`@0 Character recognition @5 69`
C03	`03`	`X`	`SPA`	`@0 Reconocimiento carácter @5 69`
C03	`04`	`X`	`FRE`	`@0 Codage binaire @5 70`
C03	`04`	`X`	`ENG`	`@0 Binary coding @5 70`
C03	`04`	`X`	`SPA`	`@0 Codificación binaria @5 70`
C03	`05`	`X`	`FRE`	`@0 Segmentation @5 71`
C03	`05`	`X`	`ENG`	`@0 Segmentation @5 71`
C03	`05`	`X`	`SPA`	`@0 Segmentación @5 71`
C03	`06`	`X`	`FRE`	`@0 Couplage graphe @5 72`
C03	`06`	`X`	`ENG`	`@0 Graph matching @5 72`
C03	`06`	`X`	`SPA`	`@0 Acoplamiento grafo @5 72`
C03	`07`	`X`	`FRE`	`@0 Analyse automatique @5 73`
C03	`07`	`X`	`ENG`	`@0 Automatic analysis @5 73`
C03	`07`	`X`	`SPA`	`@0 Análisis automático @5 73`
C03	`08`	`X`	`FRE`	`@0 Système automatique @5 74`
C03	`08`	`X`	`ENG`	`@0 Automatic system @5 74`
C03	`08`	`X`	`SPA`	`@0 Sistema automático @5 74`
C03	`09`	`X`	`FRE`	`@0 Temps calcul @5 75`
C03	`09`	`X`	`ENG`	`@0 Computation time @5 75`
C03	`09`	`X`	`SPA`	`@0 Tiempo computación @5 75`
C03	`10`	`X`	`FRE`	`@0 Form processing @4 INC @5 90`
C03	`11`	`X`	`FRE`	`@0 OCR @4 INC @5 91`
N21				`@1 046`

Format Inist (serveur)

NO :	PASCAL 95-0061784 INIST
ET :	Model-based analysis and understanding of check forms
AU :	THIEN MINH HA; BUNKE (H.); BUNKE (H.); WANG (P. S. P.); BAIRD (H.)
AF :	Univ. Berne, Inst. Informatik Angewandte Mathematik/3012 Bern/Suisse; Univ. Bern/Bern/Suisse (1 aut.)
DT :	Publication en série; Niveau analytique
SO :	International journal of pattern recognition and artificial intelligence; ISSN 0218-0014; Singapour; Da. 1994; Vol. 8; No. 5; Pp. 1053-1080; Bibl. 17 ref.
LA :	Anglais
EA :	Check forms are used by many people in daily life for money remittances. Surprisingly, the processing of these forms at banks and post offices is only partly automated. In this paper, we consider a particular kind of form, viz., the GIRO check forms used in Switzerland. We will describe a fully automatic system which is able to recognise the financial institution, the name and address of the receiver, and the account number on a GIRO check. The system comprises procedures for binarization, segmentation, model matching, and optical character recognition (OCR). Experiments on a sample set of 48 checks have shown promising results in terms of both computation time and recognition accuracy
CC :	001D02C03
FD :	Reconnaissance forme; Traitement image; Reconnaissance caractère; Codage binaire; Segmentation; Couplage graphe; Analyse automatique; Système automatique; Temps calcul; Form processing; OCR
ED :	Pattern recognition; Image processing; Character recognition; Binary coding; Segmentation; Graph matching; Automatic analysis; Automatic system; Computation time
GD :	Mustererkennung; Bildverarbeitung
SD :	Reconocimiento patrón; Procesamiento imagen; Reconocimiento carácter; Codificación binaria; Segmentación; Acoplamiento grafo; Análisis automático; Sistema automático; Tiempo computación
LO :	INIST-22088.354000057559550040
ID :	95-0061784

Links to Exploration step

Pascal:95-0061784

Le document en format XML

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<front><div type="abstract" xml:lang="en">Check forms are used by many people in daily life for money remittances. Surprisingly, the processing of these forms at banks and post offices is only partly automated. In this paper, we consider a particular kind of form, viz., the GIRO check forms used in Switzerland. We will describe a fully automatic system which is able to recognise the financial institution, the name and address of the receiver, and the account number on a GIRO check. The system comprises procedures for binarization, segmentation, model matching, and optical character recognition (OCR). Experiments on a sample set of 48 checks have shown promising results in terms of both computation time and recognition accuracy</div>
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<ET>Model-based analysis and understanding of check forms</ET>
<AU>THIEN MINH HA; BUNKE (H.); BUNKE (H.); WANG (P. S. P.); BAIRD (H.)</AU>
<AF>Univ. Berne, Inst. Informatik Angewandte Mathematik/3012 Bern/Suisse; Univ. Bern/Bern/Suisse (1 aut.)</AF>
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<LA>Anglais</LA>
<EA>Check forms are used by many people in daily life for money remittances. Surprisingly, the processing of these forms at banks and post offices is only partly automated. In this paper, we consider a particular kind of form, viz., the GIRO check forms used in Switzerland. We will describe a fully automatic system which is able to recognise the financial institution, the name and address of the receiver, and the account number on a GIRO check. The system comprises procedures for binarization, segmentation, model matching, and optical character recognition (OCR). Experiments on a sample set of 48 checks have shown promising results in terms of both computation time and recognition accuracy</EA>
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Model-based analysis and understanding of check forms

Model-based analysis and understanding of check forms

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Descripteurs français

English descriptors

Abstract

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Links to Exploration step

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