• DocumentCode
    721256
  • Title

    Odia Braille: Text transcription via image processing

  • Author

    Parvathi, K. ; Samal, Bijet Maynoher ; Das, Jitendra Kumar

  • Author_Institution
    Sch. of Electron. Eng., KIIT Univ., Odisha, India
  • fYear
    2015
  • fDate
    25-27 Feb. 2015
  • Firstpage
    138
  • Lastpage
    143
  • Abstract
    Braille-a model introduced to reduce the illiteracy rate among the visually challenged people. There has been a lot of scope for the conversion of English language to Braille but, the problem arises when the masses are unable to understand the communication by the visually challenged people. This paper focuses on the conversion of the Braille code representing Odia language(a language widely spoken in East India) into Odia word as text. For this, image processing using MATLAB technique provides a suitable platform to perform the segmentation of Braille cell for pattern selection and hence, Odia letter and word recognition. Braille Data Base creation acts as a storage system for the process and its accuracy is also tested which is explained in this paper.
  • Keywords
    handicapped aids; image recognition; image segmentation; Braille cell segmentation; Braille code conversion; Braille database; MATLAB; Odia Braille; Odia letter recognition; Odia word; Odia word recognition; image processing; pattern selection; storage system; text transcription; Image segmentation; Knowledge management; Market research; Noise; Pattern recognition; Testing; Braille Data Base; Histogram; Odia braille; image processing; image segmentation; pattern recognition; visually challenged;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8432-9
  • Type

    conf

  • DOI
    10.1109/ABLAZE.2015.7154983
  • Filename
    7154983