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Improving OCR Accuracy for Classical Critical Editions

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Research and Advanced Technology for Digital Libraries (ECDL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5714))

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Abstract

This paper describes a work-flow designed to populate a digital library of ancient Greek critical editions with highly accurate OCR scanned text. While the most recently available OCR engines are now able after suitable training to deal with the polytonic Greek fonts used in 19th and 20th century editions, further improvements can also be achieved with postprocessing. In particular, the progressive multiple alignment method applied to different OCR outputs based on the same images is discussed in this paper.

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Author information

Authors and Affiliations

  1. Perseus Digital Library, Tufts University, Eaton 124, Medford, MA, 02155, USA

    Federico Boschetti, Matteo Romanello, Alison Babeu, David Bamman & Gregory Crane

Authors
  1. Federico Boschetti
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  2. Matteo Romanello
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  3. Alison Babeu
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  4. David Bamman
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  5. Gregory Crane
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Editor information

Editors and Affiliations

  1. Department of Information Engineering, University of Padua, Via Gradenigo 6/a, 35131, Padova, Italy

    Maristella Agosti

  2. Department of Computer Science and Engineering IST, Instituto Superior Técnico, Av. Rovisco Pais, 1049-001, Lisboa, Portugal

    José Borbinha

  3. Department of Archives and Library Sciences, Ionian University, 72 Ioannou Theotoki str., 49100, Corfu, Greece

    Sarantos Kapidakis

  4. Department of Archives and Library Sciences, Ionian University, 72 Ioannou Theotoiki str., 49100, Corfu, Greece

    Christos Papatheodorou  & Giannis Tsakonas  & 

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Boschetti, F., Romanello, M., Babeu, A., Bamman, D., Crane, G. (2009). Improving OCR Accuracy for Classical Critical Editions. In: Agosti, M., Borbinha, J., Kapidakis, S., Papatheodorou, C., Tsakonas, G. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2009. Lecture Notes in Computer Science, vol 5714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04346-8_17

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  • DOI: https://doi.org/10.1007/978-3-642-04346-8_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04345-1

  • Online ISBN: 978-3-642-04346-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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