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A Mobile Application for Braille to Black Conversion

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9386))

Abstract

This work aims to the production of inclusive technologies to help people affected by diseases. In particular, we present a pipeline to convert Braille documents, acquired with a mobile device, into classic printed text. The mobile application has been thought as support for assistants (e.g., in the education domain) and parents of blind and partially sighted persons (e.g., children and elderly) for the reading of Braille written documents. The software has been developed and tested thanks to the collaboration with experts in the field [2]. Experimental results confirm the effectiveness of the proposed imaging pipeline in terms of conversion accuracy, punctuation, and final page layout.

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References

  1. www.orcam.com

  2. Unione Italiana Ciechi e Ipovedenti (Italian Union of the Blind and Partially Sighted). http://www.uiciechi.it/

  3. Kocur, I., Parajasegaram, R., Pokharel, G.: Global Data on Visual Impairment in the Year 2002. Bulletin of the World Health Organization 82 (2004)

    Google Scholar 

  4. Mennens, J., Van Tichelen, L., Francois, G., Engelen, J.J.: Optical recognition of Braille writing using standard equipment. IEEE Transactions on Rehabilitation Engineering 2(4), 207–212 (1994)

    Article  Google Scholar 

  5. Ng, C.M., Ng, V., Lau, Y.: Regular feature extraction for recognition of Braille. In: Proceedings of the Third International Conference on Computational Intelligence and Multimedia Applications, pp. 302–306 (1999)

    Google Scholar 

  6. Hentzschel, T.W., Blenkhorn, P.: An optical reading system for embossed Braille characters using a twin shadows approach. International Journal of Microcomputer Applications 18(4), 341–354 (1995)

    Article  Google Scholar 

  7. Wong, L., Abdulla, W., Hussmann, S.: A software algorithm prototype for optical recognition of embossed Braille. In: Proceedings of the International Conference on Pattern Recognition, Vol. 2, pp. 586–589 (2004)

    Google Scholar 

  8. Tai, Z., Cheng, S., Verma, P., Zhai, Y.: Braille document recognition using Belief Propagation. Journal of Visual Communication and Image Representation 21(7), 722–730 (2010)

    Article  Google Scholar 

  9. Schmid, C.: Constructing models for content-based image retrieval. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2001)

    Google Scholar 

  10. Sezgin, M., Sankur, B.: Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging 13(1), 146–168 (2004)

    Article  Google Scholar 

  11. Atherton, T.J., Kerbyson, D.J.: Size invariant circle detection. Image and Vision Computing 17(11) (1999)

    Google Scholar 

  12. Suzuki, S., Abe, K.: Topological Structural Analysis of Digitized Binary Images by Border Following. Computer Vision, Graphics, and Image Processing CVGIP 30(1), 32–46 (1985)

    Article  MATH  Google Scholar 

  13. Stanco, F., Buffa, M., Farinella, G.M.: Automatic braille to black conversion. In: Baldoni, M., Baroglio, C., Boella, G., Micalizio, R. (eds.) AI*IA 2013. LNCS, vol. 8249, pp. 517–526. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  14. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prentice-Hall Inc, Upper Saddle River (2006)

    Google Scholar 

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Correspondence to Filippo Stanco .

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© 2015 Springer International Publishing Switzerland

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Farinella, G.M., Leonardi, P., Stanco, F. (2015). A Mobile Application for Braille to Black Conversion. In: Battiato, S., Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2015. Lecture Notes in Computer Science(), vol 9386. Springer, Cham. https://doi.org/10.1007/978-3-319-25903-1_64

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  • DOI: https://doi.org/10.1007/978-3-319-25903-1_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25902-4

  • Online ISBN: 978-3-319-25903-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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