OcrV1, Main, Exploration, bibRecord, 000133

Classification of business documents for real-time application

Identifieur interne : 000133 ( Main/Exploration ); précédent : 000132; suivant : 000134

Classification of business documents for real-time application

Auteurs : Djamel Gaceb [France] ; Véronique Eglin [France] ; Frank Lebourgeois [France]

Source :

Journal of real-time image processing : (Print) [ 1861-8200 ] ; 2014.

RBID : Pascal:14-0148828

Descripteurs français

Pascal (Inist)
- Classification, Temps réel, Analyse documentaire, Traitement document, Reconnaissance automatique, Source information, Paramétrisation, Reconnaissance caractère, Reconnaissance optique caractère, Triage, Vision ordinateur, Reconnaissance forme, Appareil lecture, Type document, Décomposition graphe, Coloration graphe, Modélisation, ., Traitement image document.
Wicri :
- topic : Classification.

English descriptors

KwdEn :
- Automatic recognition, Character recognition, Classification, Computer vision, Document analysis, Document image processing, Document processing, Document types, Graph colouring, Graph decomposition, Information source, Modeling, Optical character recognition, Parameterization, Pattern recognition, Reading device, Real time, Sorting.

Abstract

In this paper, we present a new document classification based on physical layout features and graph b-coloring modeling. In order to reduce the computing time and to increase the performance of our automatic reading system, we propose to pre-classify the business documents by introducing an Automatic Recognition of Documents stage as a pre-analysis phase. This phase guides others involved in the recognition process of the documents contents. Once the document type is identified, the reading system will use its corresponding information source to improve the recognition of its logical layout, the selection and parameterization of the OCR, and the final decision of sorting. The graph coloring model is introduced for both layout analysis and document classification. The proposed method is reliable, robust to various constraints and guarantees a real-time answer to the sorting of business documents.

Affiliations:

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000013
to stream PascalFrancis, to step Curation: 000751
to stream PascalFrancis, to step Checkpoint: 000016
to stream Main, to step Merge: 000134
to stream Main, to step Curation: 000133

Le document en format XML

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<front><div type="abstract" xml:lang="en">In this paper, we present a new document classification based on physical layout features and graph b-coloring modeling. In order to reduce the computing time and to increase the performance of our automatic reading system, we propose to pre-classify the business documents by introducing an Automatic Recognition of Documents stage as a pre-analysis phase. This phase guides others involved in the recognition process of the documents contents. Once the document type is identified, the reading system will use its corresponding information source to improve the recognition of its logical layout, the selection and parameterization of the OCR, and the final decision of sorting. The graph coloring model is introduced for both layout analysis and document classification. The proposed method is reliable, robust to various constraints and guarantees a real-time answer to the sorting of business documents.</div>
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Classification of business documents for real-time application

Classification of business documents for real-time application

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri