Open AccessPrototype to Help Visually Impaired Person in Reading Printed Learning Materials using Raspberry PI
Author(s) -
R Jaichandran,
K. Somasundaram,
Bhagyashree Basfore,
Menaka I.S,
S. Uma
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.1.16803
Subject(s) - raspberry pi , computer science , optical character recognition , reading (process) , software , font , character (mathematics) , line (geometry) , visually impaired , 3d printed , computer graphics (images) , speech recognition , artificial intelligence , engineering drawing , image (mathematics) , human–computer interaction , engineering , world wide web , programming language , linguistics , philosophy , geometry , mathematics , biomedical engineering , internet of things
This paper presents a prototype to help visually impaired persons in reading printed learning materials using Raspberry PI. Tesseract an open source optical character recognition technique is used extract texts in printed images and converted to audio output using text-to-speech conversion software. Prototype is experimented using printed text pages with various font sizes and line spacing as test cases. Results show that the prototype is better in converting printed texts to speech. However quality of image, font size, and line space affects performance of prototype in converting printed texts to speech..