Text Verification in an Automated System for the Extraction of Bibliographic Data
Identifieur interne : 001847 ( Main/Exploration ); précédent : 001846; suivant : 001848Text Verification in an Automated System for the Extraction of Bibliographic Data
Auteurs : R. Thoma [États-Unis] ; Glenn Ford [États-Unis] ; Daniel Le [États-Unis] ; Zhirong Li [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2002.
Abstract
Abstract: An essential stage in any text extraction system is the manual verification of the printed material converted by OCR. This proves to be the most labor-intensive step in the process. In a system built and deployed at the National Library of Medicine to automatically extract bibliographic data from scanned biomedical journals, alternative means were considered to validate the text. This paper describes two approaches and gives preliminary performance data.
Url:
DOI: 10.1007/3-540-45869-7_46
Affiliations:
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Le document en format XML
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