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A robust braille recognition system

Antonacopoulos, A and Bridson, DP 2004, 'A robust braille recognition system' , in: Document analysis systems VI , Lecture notes in computer science (3163), 3163 , Springer Berlin / Heidelberg, pp. 533-545.

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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).

Item Type: Book Section
Editors: Dengel, A and Marinai, S
Additional Information: The original publication is available at
Themes: Subjects / Themes > T Technology > T Technology (General)
Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science > QA076 Computer software
Subjects outside of the University Themes
Schools: Schools > College of Science & Technology
Schools > College of Science & Technology > School of Computing, Science and Engineering
Schools > College of Science & Technology > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Publisher: Springer Berlin / Heidelberg
Refereed: Yes
Series Name: Lecture notes in computer science (3163)
ISBN: 9783540230601
Related URLs:
Depositing User: Institutional Repository
Date Deposited: 12 Mar 2009 12:12
Last Modified: 29 Oct 2015 00:12

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