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Classification system for the interpretation of the bRAILLE alphabet through image processing

*Corresponding author for this work
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 403-407 (5 pages)

Journal (Volume, Issue Number)

Advances in Science, Technology and Engineering Systems (Volume 5, Issue 1)

Publication milestones

  • Published - 2020

Publication status

Published - 2020

Publication IDs

  • Scopus: 85080982611

Abstract

The Braille language system or also known as the language for the blind people was created so that these people can understand the vocabulary words depending on the country in which they are located, this system is based on points in which the points raised or also known as the largest points depending on their location will have a meaning of a letter. At present, very few educational centers have Braille translation systems or Braille language specialists for the understanding and teaching of people with visual disabilities. According to INEI, 1.9% of the Peruvian population has visual impairment and only 20% of that population manages to finish their studies thus having a great deficit in cognitive preparation. That is why a Braille translation system was proposed, capable of capturing images in Braille language and translating them through image processing into Peruvian vocabulary, giving as a result, the understanding of the person or specialist who is teaching or training in that moment. The Braille language image has to go through different filters of which are intended to obtain the areas of the circles that compose it in order to obtain a binary matrix of it and convert it to a number that will represent the letter. The result was the translation of the Braille language into Peruvian vocabulary and also the identification of the points that have each letter.