A robust braille recognition system

Antonacopoulos, A; Bridson, DP

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).

Citation

Antonacopoulos, A., & Bridson, D. (2004). A robust braille recognition system. In A. Dengel, & S. Marinai (Eds.), Document analysis systems VI (533-545). Springer Berlin / Heidelberg. https://doi.org/10.1007/b100557

• Publication Date: Jan 1, 2004
• Deposit Date: Mar 12, 2009
• Publicly Available Date: Mar 12, 2009
• Pages: 533-545
• Series Title: Lecture notes in computer science (3163)
• Book Title: Document analysis systems VI
• ISBN: 9783540230601
• DOI: https://doi.org/10.1007/b100557
• Publisher URL: http://www.springerlink.com/content/b335hyg2qp4r62nm/
• Related Public URLs: http://www.springerlink.com/home/main.mpx
• Additional Information: Additional Information : The original publication is available at http://www.springerlink.com