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 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:||Colleges and Schools > College of Science & Technology|
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
|Publisher:||Springer Berlin / Heidelberg|
|Depositing User:||Institutional Repository|
|Date Deposited:||12 Mar 2009 12:12|
|Last Modified:||20 Aug 2013 16:56|
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