Abstract
The main objective of this work is to automate the conversion process of pedagogical images into information easily understandable by blind people and visually impaired people. This is performed by determining automatically the different areas of interest in the image, then identify each region by assigning it a texture which will be for example transformed in relief. The text present in the image is also detected, recognized and transformed in accessible text (in Braille text or vocal message). The solution that we offer by this work is to provide a tool that tries to find automatically the principal information conveyed by the image and then transmit it to blind people.
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This work was supported by PICRI CARTASAM no. 13020599.
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Haddad, Z., Chen, Y., Krahe, J.L. (2016). Image Processing and Pattern Recognition Tools for the Automatic Image Transcription. In: Miesenberger, K., Bühler, C., Penaz, P. (eds) Computers Helping People with Special Needs. ICCHP 2016. Lecture Notes in Computer Science(), vol 9758. Springer, Cham. https://doi.org/10.1007/978-3-319-41264-1_26
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DOI: https://doi.org/10.1007/978-3-319-41264-1_26
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