Skip to main content

A Mobile Phone Application Enabling Visually Impaired Users to Find and Read Product Barcodes

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6180))

Abstract

While there are many barcode readers available for identifying products in a supermarket or at home on mobile phones (e.g., Red Laser iPhone app), such readers are inaccessible to blind or visually impaired persons because of their reliance on visual feedback from the user to center the barcode in the camera’s field of view. We describe a mobile phone application that guides a visually impaired user to the barcode on a package in real-time using the phone’s built-in video camera. Once the barcode is located by the system, the user is prompted with audio signals to bring the camera closer to the barcode until it can be resolved by the camera, which is then decoded and the corresponding product information read aloud using text-to-speech. Experiments with a blind volunteer demonstrate proof of concept of our system, which allowed the volunteer to locate barcodes which were then translated to product information that was announced to the user. We successfully tested a series of common products, as well as user-generated barcodes labeling household items that may not come with barcodes.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Internet UPC Database, http://www.upcdatabase.com/

  2. Kongqiao, W.: 1D barcode reading on camera phones. International Journal of Image and Graphics 7(3), 529–550 (2007)

    Article  Google Scholar 

  3. Narasimhan, P.: Trinetra: Assistive technologies for grocery shopping for the blind. In: IEEE-BAIS Symposium on Research in Assistive Technologies, Dayton, OH (April 2007)

    Google Scholar 

  4. Tekin, E., Coughlan, J.M.: An algorithm enabling blind users to find and read barcodes. In: IEEE Workshop on Applications of Computer Vision, Snowbird, UT (December 2009)

    Google Scholar 

  5. Tekin, E., Coughlan, J.M.: A bayesian algorithm for reading 1d barcodes. In: Sixth Canadian Conference on Computer and Robot Vision, Kelowna, BC, Canada (May 2009)

    Google Scholar 

  6. Wachenfeld, S., Terlunen, S., Jiang, X.: Robust recognition of 1-D barcodes using camera phones. In: 9th International Conference on Pattern Recognition, Tampa, FL, December 2008, pp. 1–4 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tekin, E., Coughlan, J.M. (2010). A Mobile Phone Application Enabling Visually Impaired Users to Find and Read Product Barcodes. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds) Computers Helping People with Special Needs. ICCHP 2010. Lecture Notes in Computer Science, vol 6180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14100-3_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14100-3_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14099-0

  • Online ISBN: 978-3-642-14100-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics