Automatic Checking of Alternative Texts on Web Pages

  • Morten Goodwin Olsen
  • Mikael Snaprud
  • Annika Nietzio
Conference paper

DOI: 10.1007/978-3-642-14097-6_68

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6179)
Cite this paper as:
Olsen M.G., Snaprud M., Nietzio A. (2010) Automatic Checking of Alternative Texts on Web Pages. In: Miesenberger K., Klaus J., Zagler W., Karshmer A. (eds) Computers Helping People with Special Needs. ICCHP 2010. Lecture Notes in Computer Science, vol 6179. Springer, Berlin, Heidelberg

Abstract

For people who cannot see non-textual web content, such as images, maps or audio files, the alternative texts are crucial to understand and use the content. Alternate texts are often automatically generated by web publishing software or not properly provided by the author of the content. Such texts may impose web accessibility barriers. Automatic accessibility checkers in use today can only detect the presence of alternative texts, but not determine if the text is describing the corresponding content in any useful way. This paper presents a pattern recognition approach for automatic detection of alternative texts that may impose a barrier, reaching an accuracy of more then 90%.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Morten Goodwin Olsen
    • 1
  • Mikael Snaprud
    • 1
  • Annika Nietzio
    • 2
  1. 1.Tingtun ASLillesandNorway
  2. 2.Forschungsinstitut Technologie und Behinderung (FTB), der Evangelischen Stiftung VolmarsteinWetter (Ruhr)Germany

Personalised recommendations