OcrV1, Main, Exploration, bibRecord, 000344

Hybred: An OCR Document Representation for Classification Tasks

Identifieur interne : 000344 ( Main/Exploration ); précédent : 000343; suivant : 000345

Hybred: An OCR Document Representation for Classification Tasks

Auteurs : Sami Laroum [France] ; Nicolas Béchet [France] ; Hatem Hamza [France] ; Mathieu Roche [France]

Source :

International Journal of Computer Science Issues [ 1694-0784 ] ; 2011-05.

RBID : Hal:lirmm-00723581

English descriptors

mix :
- Data Mining, Information Retrieval, OCR, Text Mining.

Abstract

The classification of digital documents is a complex task in a document analysis flow. The amount of documents resulting from the OCR retro-conversion (optical character recognition) makes the classification task harder. In the literature, different features are used to improve the classification quality. In this paper, we evaluate various features on OCRed and non OCRed documents. Thanks to this evaluation, we propose the HYBRED (HYBrid REpresentation of Documents) approach which combines different features in a single relevant representation. The experiments conducted on real data show the interest of this approach.

Url:

http://hal-lirmm.ccsd.cnrs.fr/lirmm-00723581

Affiliations:

France

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

to stream Hal, to step Corpus: 000058
to stream Hal, to step Curation: 000058
to stream Hal, to step Checkpoint: 000086
to stream Main, to step Merge: 000349
to stream Main, to step Curation: 000344

Le document en format XML

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<front><div type="abstract" xml:lang="en">The classification of digital documents is a complex task in a document analysis flow. The amount of documents resulting from the OCR retro-conversion (optical character recognition) makes the classification task harder. In the literature, different features are used to improve the classification quality. In this paper, we evaluate various features on OCRed and non OCRed documents. Thanks to this evaluation, we propose the HYBRED (HYBrid REpresentation of Documents) approach which combines different features in a single relevant representation. The experiments conducted on real data show the interest of this approach.</div>
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   |wiki=    Ticri/CIDE
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   |texte=   Hybred: An OCR Document Representation for Classification Tasks
}}

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Hybred: An OCR Document Representation for Classification Tasks

Hybred: An OCR Document Representation for Classification Tasks

Source :

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