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.
CITATION STYLE
Baumgärtner, C., Schwarz, T., & Stiefelhagen, R. (2020). Image-based recognition of braille using neural networks on mobile devices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12376 LNCS, pp. 346–353). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58796-3_41
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