A robust braille recognition system

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
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:	Publisher
Depositing User:	Institutional Repository
Date Deposited:	12 Mar 2009 12:12
Last Modified:	27 Mar 2019 12:01
URI:	http://usir.salford.ac.uk/id/eprint/1815

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