• DocumentCode
    174391
  • Title

    Handwriting recognition system for mobile accessibility to the visually impaired people

  • Author

    Mendonca Gouveia, Felipe ; Leite Dantas Bezerra, Byron ; Zanchettin, Cleber ; Jardim Meneses, Joao Raul

  • Author_Institution
    Polytech. Sch. of Pernambuco, Univ. of Pernambuco, Recife, Brazil
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    3918
  • Lastpage
    3923
  • Abstract
    This paper proposes the combination of preprocessing and handwriting recognition approaches aiming to develop a flexible and assistive mobile tool to help visually impaired people to understand and interact with handwriting text. The proposed system is described and its performance is evaluated in the IAM Handwriting Database. The system presented promising results and may aid visually impaired to overcome an everyday accessibility barrier as handwriting recognition.
  • Keywords
    handicapped aids; handwriting recognition; mobile computing; IAM handwriting database; assistive mobile tool; flexible mobile tool; handwriting recognition system; handwriting text; mobile accessibility; visually impaired people; Cameras; Databases; Feature extraction; Handwriting recognition; Image segmentation; Mobile communication; Mobile handsets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6974543
  • Filename
    6974543
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=174391