OcrV1, Main, Exploration, bibRecord, 000F19

User-configurable OCR enhancement for online natural history archives

Identifieur interne : 000F19 ( Main/Exploration ); précédent : 000F18; suivant : 000F20

User-configurable OCR enhancement for online natural history archives

Auteurs : Andy Downton [Royaume-Uni] ; JINGYU HE [Royaume-Uni] ; Simon Lucas [Royaume-Uni]

Source :

International journal on document analysis and recognition : (Print) [ 1433-2833 ] ; 2007.

RBID : Pascal:07-0469293

Descripteurs français

Pascal (Inist)
- Reconnaissance caractère, Reconnaissance optique caractère, Bibliothèque électronique, Traitement image document, Mot, Langage naturel, Base donnée, Zone donnée, Disponibilité, Internet, Analyse documentaire, Archive électronique, Système construction, Analyse texte, Musée, Réseau web, Validation, Dictionnaire électronique.
Wicri :
- topic : Base de données, Musée.

English descriptors

KwdEn :
- Availability, Character recognition, Construction system, Data field, Database, Digital archive, Document analysis, Document image processing, Electronic dictionary, Electronic library, Internet, Museum, Natural language, Optical character recognition, Text analysis, Validation, Word, World wide web.

Abstract

The creation of structured digital libraries from paper-based archives is an area of growing demand in many scientific and cultural fields, and is not satisfied either by off-the-shelf OCR or commercial form-processing systems. This paper describes and evaluates a configurable archive construction system, which integrates document image pre-processing and analysis with text post-processing tools and a standard OCR package to meet digital archiving requirements. The prototype system is currently being used in conjunction with the UK Natural History Museum to help convert more than 500,000 cards of Lepidoptera (Butterflies and Moths) and Coleoptera (Beetles) to searchable digital archives. Evaluation results covering different aspects of the system from card scanning to overall word recognition rates for different database fields are summarised for two datasets comprising over 5,000 cards selected from different parts of these archives. First-pass end-to-end word recognition rates of 70-90% are reported for key data fields, subject to availability of suitable electronic dictionaries. Further validation and correction is supported through web-editing of the online digital archive.

Affiliations:

Royaume-Uni

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

to stream PascalFrancis, to step Corpus: 000320
to stream PascalFrancis, to step Curation: 000466
to stream PascalFrancis, to step Checkpoint: 000261
to stream Main, to step Merge: 000F32
to stream Main, to step Curation: 000F19

Le document en format XML

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<term>Document image processing</term>
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<term>Réseau web</term>
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<term>Dictionnaire électronique</term>
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<front><div type="abstract" xml:lang="en">The creation of structured digital libraries from paper-based archives is an area of growing demand in many scientific and cultural fields, and is not satisfied either by off-the-shelf OCR or commercial form-processing systems. This paper describes and evaluates a configurable archive construction system, which integrates document image pre-processing and analysis with text post-processing tools and a standard OCR package to meet digital archiving requirements. The prototype system is currently being used in conjunction with the UK Natural History Museum to help convert more than 500,000 cards of Lepidoptera (Butterflies and Moths) and Coleoptera (Beetles) to searchable digital archives. Evaluation results covering different aspects of the system from card scanning to overall word recognition rates for different database fields are summarised for two datasets comprising over 5,000 cards selected from different parts of these archives. First-pass end-to-end word recognition rates of 70-90% are reported for key data fields, subject to availability of suitable electronic dictionaries. Further validation and correction is supported through web-editing of the online digital archive.</div>
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User-configurable OCR enhancement for online natural history archives

User-configurable OCR enhancement for online natural history archives

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