Braille system is purposely made for visually impaired people, to support their literal communication in order to share their knowledge. Louis Braille introduced the braille system consists of series dots which are embossed to read by touching. Early days Braille papers are made manually, but at current days braille documents are made using machines. Due to lack of perceiving on braille symbols and characters, it was highly needed fact to develop Braille system to different languages. In the Sri Lankan context, we found that the mostly inconvenience are happening inside of Sri Lankan education system. Such as in Special Education centers, Colleges, and universities. Written Braille scripts are evolution by a limited number of people who are specialized in the Sinhala braille system. Also, the process of marking braille documents are not effective and efficient. The focus of this research is to address the issue of literal communication gaps between society and the blind people in Sri Lanka. Average quality single-sided composed Braille dot characters are identified with maximum accuracy by using several novel methodologies. Obtained results denote the proposed methodologies are with the highest accuracy and system performance are more efficient as promised. The research presents executable software prototype, includes proposed methods which align with optical braille recognition in order to transpose the recognize braille characters. Introduce of new binaries cell transcription method of Braille character from a Braille document and decoding them into Sinhala characters. The proposed cost-effective system can display decoded braille characters by normalizing to Sinhala text which is in a human-understandable form.
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