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Automatic Paragraph Detection for Accessible PDF Documents

  • Conference paper
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Computers Helping People with Special Needs (ICCHP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9758))

Abstract

This paper describes a new algorithm for the automatic detection and tagging of paragraphs in PDF documents. This is an important feature of the PDF Accessibility Validation Engine (PAVE) [1] which is an open-source web application for the analysis and semi-automatic correction of accessibility issues in PDF documents. The tool is currently used by a large number of users, and their feedback is collected and evaluated. The evaluation so far revealed some major usability issues mainly due to the missing paragraph detection functionality. After an introduction in PDF accessibility this paper discusses the current usability issues with PAVE and describes the newly proposed algorithm to alleviate them. A first evaluation and conclusion of the results will be provided in the final paper.

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References

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Author information

Authors and Affiliations

  1. InIT Institute of Applied Information Technology, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Alireza Darvishy, Mark Nevill & Hans-Peter Hutter

Authors
  1. Alireza Darvishy
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  2. Mark Nevill
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  3. Hans-Peter Hutter
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Corresponding author

Correspondence to Alireza Darvishy .

Editor information

Editors and Affiliations

  1. Institute Integriert Studieren, Universität Linz, Linz, Austria

    Klaus Miesenberger

  2. Rehabilitationswissenschaften, Technische Universität Dortmund, Dortmund, Germany

    Christian Bühler

  3. Masaryk University , Brno, Czech Republic

    Petr Penaz

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© 2016 Springer International Publishing Switzerland

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Darvishy, A., Nevill, M., Hutter, HP. (2016). Automatic Paragraph Detection for Accessible PDF Documents. In: Miesenberger, K., Bühler, C., Penaz, P. (eds) Computers Helping People with Special Needs. ICCHP 2016. Lecture Notes in Computer Science(), vol 9758. Springer, Cham. https://doi.org/10.1007/978-3-319-41264-1_50

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  • DOI: https://doi.org/10.1007/978-3-319-41264-1_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41263-4

  • Online ISBN: 978-3-319-41264-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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