Braille Recognition using a Camera-enabled Smartphone | Zendy

Gayatri Venugopal-Wairagade | Zendy

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Braille Recognition using a Camera-enabled Smartphone

Author(s) -

Gayatri Venugopal-Wairagade

Publication year - 2016

Publication title -

international journal of engineering and manufacturing

Language(s) - English

Resource type - Journals

eISSN - 2306-5982

pISSN - 2305-3631

DOI - 10.5815/ijem.2016.04.04

Subject(s) - braille , computer science , domain (mathematical analysis) , process (computing) , visually impaired , human–computer interaction , multimedia , artificial intelligence , computer vision , programming language , mathematics , mathematical analysis , operating system

The paper proposes a method to process the image of a Braille document that interprets the raised dots on the document and converts them to their equivalent English characters. It was found that under ideal conditions of light and alignment of the Braille document with respect to the smartphone, the application can achieve more than 80% accuracy. The application can be used in the education domain, wherein users who do not understand Braille may help visually-impaired or blind students in their learning activities such as assignments and tests.

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