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A Robust Braille Recognition System

  • Apostolos Antonacopoulos
  • David Bridson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3163)

Abstract

Braille is the most effective means of written communication between visually-impaired and sighted people. This paper describes a new system that recognizes Braille characters in scanned Braille document pages. Unlike most other approaches, an inexpensive flatbed scanner is used and the system requires minimal interaction with the user. A unique feature of this system is the use of context at different levels (from the pre-processing of the image through to the post-processing of the recognition results) to enhance robustness and, consequently, recognition results. Braille dots composing characters are identified on both single and double-sided documents of average quality with over 99% accuracy, while Braille characters are also correctly recognised in over 99% of documents of average quality (in both single and double-sided documents).

Keywords

Average Quality Character Recognition Recognition Result White Region Flatbed Scanner 
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.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Apostolos Antonacopoulos
    • 1
  • David Bridson
    • 1
  1. 1.Pattern Recognition and Image Analysis (PRImA) group, Department of Computer ScienceUniversity of LiverpoolLiverpoolUnited Kingdom

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