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Summary: A Robust Braille Recognition System
A. Antonacopoulos and D. Bridson
Pattern Recognition and Image Analysis (PRImA) group, Department of Computer Science
University of Liverpool, Liverpool, L69 3BX, United Kingdom
http://www.csc.liv.ac.uk/~prima
Abstract. Braille is the most effective means of written communication be-
tween 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).
1 Introduction
Information in written form plays an undeniably important role in our daily lives.
From education and leisure, to casual note taking and information exchange, recording
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