Arabic Braille scripts recognition and translation using image processing techniques | ||
| Journal of College of Education for Pure Science | ||
| Article 1, Volume 2, Issue 3, September 2012, Pages 18-26 | ||
| Authors | ||
| Zainab I. Authman; Zamen F. Jebr | ||
| Abstract | ||
| Braille is one of the important means of written informational communication between visually-impaired and sight people, so it gains the research interest. This paper describes a new technique for recognizing Braille cells in Arabic single side Braille document. The mean challenge in (OBR) system -which is resolved here- is how to binaries Braille image So we suggested two algorithms two binaries Braille sheets based on morphological operations. We apply morphological tophat filter on green Braille documents and morphological bothat filter in yellow Braille documents. Optical Arabic Braille Recognition system has two main tasks, first is to recognize printed Braille cells, and second is to convert them to regular text. We introduce in this search, automatic system which converts printed Braille Arabic to binary digital format to perform the first task from recognition system then we convert character result into binary string and used template matching to recognize this character after that the character translate into text based on ASCII code which map for each Arabic letter. The recognition rates for green Braille documents were between (98.04% - 100%) and (97.08% - 99.65%) for yellow Braille documents while execution time was between (8-38 s.) . | ||
| Keywords | ||
| image processing; Morphological operation; Braille; optical recognition | ||
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