A software algorithm prototype for optical recognition of embossed Braille

Author

Wong, Lisa ; Abdulla, Waleed ; Hussmann, Stephan

Author_Institution

Dept. of Electr. & Comput. Eng., Auckland Univ., New Zealand

Volume

2

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

586

Abstract

Braille is a tactile format of written communication for sight-impaired people worldwide. This paper proposes a software solution prototype to optically recognise single sided embossed Braille documents using a simple image processing algorithm and probabilistic neural network. The output is a Braille text file formatted to preserve the layout of the original document which can be sent to an electronic embosser for reproduction. Preliminary experiments have been performed with an excellent recognition rate, where the transcription accuracy is at 99%.

Keywords

document image processing; handicapped aids; neural nets; optical character recognition; image processing algorithm; probabilistic neural network; single sided embossed Braille documents optical recognition; software algorithm prototype; Algorithm design and analysis; Design engineering; Image processing; Image recognition; Neural networks; Optical computing; Optical fiber networks; Software algorithms; Software prototyping; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334316

Filename

1334316