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A Robust Braille Recognition System A. Antonacopoulos and D. Bridson

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
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
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


Source: Antonacopoulos, Apostolos - School of Computing, Science and Engineering, University of Salford


Collections: Computer Technologies and Information Sciences