Text Verification in an Automated System for the Extraction of Bibliographic Data

  • George R. Thoma
  • Glenn Ford
  • Daniel Le
  • Zhirong Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2423)

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.

Keywords

Document Image Bibliographic Data Journal Issue Bibliographic Record Affiliation Field 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • George R. Thoma
    • 1
  • Glenn Ford
    • 1
  • Daniel Le
    • 1
  • Zhirong Li
    • 1
  1. 1.National Library of MedicineBethesda, Maryland

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