Braille Identification System Using Artificial Neural Networks

Authors

  • Mohammed Waleed

DOI:

https://doi.org/10.25130/tjps.v22i2.640

Abstract

The Braille system is a widely used method by the blind to read and write. Information technology revolution is changing the way Braille reading and writing, making it easier to use. All kinds of materials can be put into Braille representation, such as bank statements, bus ticket, maps, and music note.

In this paper, an artificial neural networks are designed to identify the number's image from (0-9) in Braille representation system. Networks will be trained and tested to be used for identify the scanned English number in Braille representation system. Some of the numbers are noised with some type of noise to simulate somehow the real world environment.

According to the experiment the result of the identification of number that written in Braille representation using Artificial Neural Networks the training accuracy was 97.1% and testing accuracy was 85%.

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Published

2023-01-21

How to Cite

Mohammed Waleed. (2023). Braille Identification System Using Artificial Neural Networks. Tikrit Journal of Pure Science, 22(2), 140–145. https://doi.org/10.25130/tjps.v22i2.640

Issue

Vol. 22 No. 2 (2017)

Section

Articles

License

Copyright (c) 2023 Tikrit Journal of Pure Science

Creative Commons License

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