A Robust Braille Recognition System

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


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).


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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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