A Robust Braille Recognition System
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).
KeywordsAverage Quality Character Recognition Recognition Result White Region Flatbed Scanner
- 1.Antonacopoulos, A.: Automatic Reading of Braille Documents. In: Bunke, H., Wang, P.S.P. (eds.) Handbook of Character Recognition and Document Image Analysis, pp. 703–728. World Scientific Publishing Company, Singapore (1997)Google Scholar
- 2.Dubus, J.P., Benjelloun, M., Devlaminck, V., Wauquier, F., Altmayer, P.: Image Processing Techniques to Perform an Autonomous System to Translate Relief Braille into Black-Ink, Called: Lectobraille. In: Proc. IEEE Engineering in Medicine and Biology Society 10th Annual Int. Conf., New Orleans, pp. 1584–1585 (1988)Google Scholar
- 3.François, G., Calders, P.: The Reproduction of Braille Originals by Means of Optical Pattern Recognition. In: Proc. 5th Int. Workshop on Computer Braille Production, Heverlee, pp. 119–122 (1985)Google Scholar
- 4.Hentzschel, T.W.: An Optical Braille Reading System, M.Sc. Dissertation, Faculty of Technology, University of Manchester (1992)Google Scholar
- 6.Ritchings, R.T., Antonacopoulos, A., Drakopoulos, D.: Analysis of Scanned Braille Documents. In: Dengel, A., Spitz, A.L. (eds.) Document Analysis Systems, pp. 413–421. World Scientific Publishing Company, Singapore (1995)Google Scholar