Classification of documents by form and content
Identifieur interne : 002434 ( Main/Exploration ); précédent : 002433; suivant : 002435Classification of documents by form and content
Auteurs : Gerd Maderlechner [Allemagne] ; Peter Suda [Allemagne] ; Thomas Brückner [Allemagne]Source :
- Pattern Recognition Letters [ 0167-8655 ] ; 1997.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Bureautique, Logiciel.
English descriptors
- KwdEn :
Abstract
This paper presents a modular software system, which classifies a large variety of office documents according to layout form and textual content. It consists of the following components: layout analysis, pre-classification, OCR interface, fuzzy string matching, text categorization, lexical, syntactical and semantic analysis. The system has been applied to the following tasks: presorting of forms, reports and letters, index extraction for archiving and retrieval, page type classification and text column analysis of real estate register documents, in-house mail sorting and electronic distribution to departments. The architecture, modules, and practical results are described.
Url:
DOI: 10.1016/S0167-8655(97)00098-6
Affiliations:
Links toward previous steps (curation, corpus...)
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Le document en format XML
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<term>Document segmentation</term>
<term>Image processing</term>
<term>Layout analysis</term>
<term>Modular software systems</term>
<term>Office automation</term>
<term>Pattern recognition</term>
<term>Shift registers</term>
<term>Sorting</term>
<term>Text classification</term>
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<term>Structure donnée</term>
<term>Traitement donnée</term>
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<front><div type="abstract" xml:lang="en">This paper presents a modular software system, which classifies a large variety of office documents according to layout form and textual content. It consists of the following components: layout analysis, pre-classification, OCR interface, fuzzy string matching, text categorization, lexical, syntactical and semantic analysis. The system has been applied to the following tasks: presorting of forms, reports and letters, index extraction for archiving and retrieval, page type classification and text column analysis of real estate register documents, in-house mail sorting and electronic distribution to departments. The architecture, modules, and practical results are described.</div>
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