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Enhancing Braille Code Conversion to Text in Multiple Languages

Arockia Kinsely Felix S.*, Deepika P. **, K. Shanmugam ***, Geetha S. ****

*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Periodicity:July - December'2020
DOI : https://doi.org/10.26634/jdp.8.2.18180

Abstract

Braille code is a mode of written communication used by visually impaired people to learn and communicate with others. Many visually impaired people find it difficult to read books printed in Braille code. Technology has the capability to convert the Braille code printed content to voice, which would be beneficial to the visually impaired people. The aim of this project is to create a software system that enables to convert Braille code into multi-lingual text and voice output using Machine Learning and Artificial Intelligence algorithms. This paper explains the key concepts and challenges.

Keywords

Braille Code, Optical Character Recognition (OCR), Machine Learning, Image Processing.

How to Cite this Article?

Felix, S. A. K., Deepika, P., Shanmugam, K., and Geetha, S. (2020). Enhancing Braille Code Conversion to Text in Multiple Languages. i-manager's Journal on Digital Signal Processing, 8(2), 31-36. https://doi.org/10.26634/jdp.8.2.18180

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Enhancing Braille Code Conversion to Text in Multiple Languages

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