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Image-Based Recognition of Braille Using Neural Networks on Mobile Devices

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 12376)


Braille documents are part of the collaboration with blind people. To overcome the problem of learning Braille as a sighted person, a technical solution for reading Braille would be beneficial. Thus, a mobile and easy-to-use system is needed for every day situations. Since it should be a mobile system, the environment cannot be controlled, which requires modern computer vision algorithms. Therefore, we present a mobile Optical Braille Recognition system using state-of-the-art deep learning implemented as an app and server application.


  • Optical Braille Recognition
  • Deep learning
  • Mobile devices

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    Emfuse, EmBraille from Viewplus and Everest from Index Braille.


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Correspondence to Thorsten Schwarz .

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Baumgärtner, C., Schwarz, T., Stiefelhagen, R. (2020). Image-Based Recognition of Braille Using Neural Networks on Mobile Devices. In: Miesenberger, K., Manduchi, R., Covarrubias Rodriguez, M., Peňáz, P. (eds) Computers Helping People with Special Needs. ICCHP 2020. Lecture Notes in Computer Science(), vol 12376. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58795-6

  • Online ISBN: 978-3-030-58796-3

  • eBook Packages: Computer ScienceComputer Science (R0)