Artificial Intelligence Techniques to Understand Braille

Abstract

The special-needs individuals have their own literary system called Braille for printing, reading, and writing since 1824 that assist them in easily connecting with each other. Because of the isolated education system, formally called the heterogeneous education system, they faced a lot of problems and challenges from society. Artificial intelligence tools and techniques play a vital role in mitigating communication gap between blind/visually impaired individuals and non-blind people. Thus, this chapter focuses on reviewing artificial intelligence techniques to understand Braille for normal people associated with visual imperative individuals. It is found that natural language processing (NLP) helps in translating native language into Braille. Machine learning and artificial neural network algorithms help in translating by matching the equivalent pattern of Braille. The concept of finite automata is used with natural language processing to recognize and convert the Braille pattern equivalent to their native language pattern and vice versa.