Prototype to Help Visually Impaired Person in Reading Printed Learning Materials using Raspberry PI

  • Authors

    • Jaichandran R
    • Somasundaram K
    • Bhagyashree Basfore
    • Menaka I.S
    • Uma S
    2018-08-04
    https://doi.org/10.14419/ijet.v7i3.1.16803
  • Optical Character Recognition, Raspberry PI, Text-to-speech Conversion, Visually Impaired.

  • 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..

     

  • References

    1. [1] Ashwini V. Mhaske and Mahesh S. Sadavarte “Portable Camera Based Assistive Text Reading from Hand Held Objects for Blind Personâ€, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 6, pp. 625-628, 2016.

      [2] Aaron James S, Sanjana S, Monisha M, “ CR based automatic book reader for the visually impaired using Raspberry PIâ€, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 4,Issue 7, pp. 1111-1118, 2016.

      [3] Ajantha Devi V, Santhosh Baboo S, “Embedded Optical Character Recognition on Tamil Text Image using Raspberry PIâ€, International Journal of Computer Science Trends and Technology (IJCST), vol. 2, issue 4, pp. 127-131,2014.

      [4] Chucai Yi, and Yingli Tian, “Assistive Text Reading from Complex Background for Blind Personsâ€, International Workshop on Camera-Based Document Analysis and Recognition, LNCS 7139, pp. 15–28, 2012.

      [5] H. Saleous, A. Shaikh, R. Gupta and Sagahyroon, A, "Read2Me: A cloud-based reading aid for the visually impaired," 2016 International Conference on Industrial Informatics and Computer Systems (CIICS), Sharjah, pp. 1-6, 2016.

      [6] Komala Mohan Kalbhor, and Kale, S.D, “ A Survey on Portable Camera-Based Assistive Text and Product Label Reading From Hand-Held Objects for Blind Personsâ€, International Research Journal of Engineering and Technology, vol. 4, issue 03, pp. 53-57, 2017.

      [7] Mallapa D Gurav, Shruti S Salimath, Shruti B Hatti, Vijayalaxmi, I. Byakod, and Shivaleela Kanade,“ B-LIGHT: A Reading aid for the Blind People using OCR and OpenCVâ€, International Journal of Scientific Research Engineering & Technology, vol. 6, issue 5, 2017, pp. 546-548.

      [8] Michael J Tobin, and Eileen W Hill, “Is literacy for blind people under threat? Does braille have a future,†British Journal of Visual Impairment, vol. 33, issue 3, pp. 239-250, 2015.

      [9] Velmurugan D, Sonam M.S, Umamaheswari S, Parthasarathy S, Arun K.R, “A Smart Reader for Visually Impaired People Using Raspberry PIâ€, International Journal of Engineering Science and Computing, vol. 6, Issue 3, pp. 2997-3001, 2016.

      [10] G. Ramprabu, S. Nagarajan, “Design and Analysis of Novel Modified Cross Layer Controller for WMSNâ€, Indian Journal of Science and Technology, Vol 8(5), March 2015, pp.438-444.

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  • How to Cite

    R, J., K, S., Basfore, B., I.S, M., & S, U. (2018). Prototype to Help Visually Impaired Person in Reading Printed Learning Materials using Raspberry PI. International Journal of Engineering & Technology, 7(3.1), 82-85. https://doi.org/10.14419/ijet.v7i3.1.16803