The Braille system is a method that is widely used by blind people to read and write. Braille generally consists of cells of raised dots arranged in a grid. The presence or absence of dots can be sensed by the blind people’s fingertips to give them the coding for the symbol.
The electronic revolution is changing the way Braille is produced, stored and retrieved, making it easier to use in the work place. All kinds of materials can be put into Braille, from bank statements, bus timetables, maps to music. But it is still difficult to produce an error-free Braille for complex materials. In this paper, the ability of the neural networks will be tested to be used for translating scanned text pages, books or lectures from English language into Grade I Braille; so that blind people can deal with it.
An artificial neural network is designed with minimum structure and tested to convert the English characters into grade I literary Braille code. English characters will be assumed to be affected by noise of mean variant between 0 and 0.4.The output of the N.N can be stored in a data file that can be sent into a Braille printer or a Braille display.