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A Robust Braille Recognition System

A. Antonacopoulos, D. Bridson

Document Analysis Systems VI: Proceedings of the 6th International Association for Pattern Recognition (IAPR) Workshop on Document Analysis Systems (DAS2004), S. Marinai and A.R. Dengel (Eds.), Springer Lecture Notes in Computer Science, LNCS 3163, Florence, Italy, September 2004, pp. 533-545

Abstract

Braille is the most effective means of written communication between visually-impaired people and sighted people. This paper describes a new system that recognizes Braille characters om 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 syetsm is the use of context at different levels (from the pre-processing of the image through to the post-procssing of the recognition results) to enahance robustness and, consequently, recognition results. Braille dots composing chatacyers 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).

Citation

A. Antonacopoulos, D. Bridson , "A Robust Braille Recognition System", Document Analysis Systems VI: Proceedings of the 6th International Association for Pattern Recognition (IAPR) Workshop on Document Analysis Systems (DAS2004), S. Marinai and A.R. Dengel (Eds.), Springer Lecture Notes in Computer Science, LNCS 3163, Florence, Italy, September 2004, pp. 533-545

DOI

10.1007/978-3-540-28640-0_50

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