Antonacopoulos, A ORCID: https://orcid.org/0000-0001-9552-0233 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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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).
Item Type: | Book Section |
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Editors: | Dengel, A and Marinai, S |
Additional Information: | The original publication is available at http://www.springerlink.com |
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 > School of Computing, Science and Engineering Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre |
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: | 15 Feb 2022 17:40 |
URI: | http://usir.salford.ac.uk/id/eprint/1815 |
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