• DocumentCode
    1697346
  • Title

    A review of optical Braille recognition

  • Author

    Isayed, Samer ; Tahboub, Radwan

  • Author_Institution
    Inf., Palestine Polytech. Univ., Hebron, Palestinian Authority
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The process to take a Braille document image and convert its content into its equivalent natural language characters, is called Optical Braille Recognition (OBR). It involves two main consecutive steps: Braille cell recognition and Braille cell transcription. Braille cell recognition contains few steps including: Image acquisition, Image De-skewing, Image pre-processing, dot recognition, cell recognition and segmentation. Image transcription aims to convert the segmented Braille cell, into its equivalent natural language characters. In this survey we aim to study the earlier works done by other researchers on both Braille cell recognition and transcription.
  • Keywords
    document image processing; image recognition; image segmentation; natural languages; Braille cell recognition; Braille cell transcription; Braille document image; OBR; cell recognition; cell segmentation; dot recognition; equivalent natural language characters; image acquisition; image de-skewing; image preprocessing; optical Braille recognition; Character recognition; Heuristic algorithms; Image recognition; Image segmentation; Natural languages; Noise; Optical imaging; Braille; Braille Recognition; Image Processing; Neural Network; Support Vector Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Applications and Networking (WSWAN), 2015 2nd World Symposium on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4799-8171-7
  • Type

    conf

  • DOI
    10.1109/WSWAN.2015.7210343
  • Filename
    7210343