• DocumentCode
    987235
  • Title

    Evaluation of feature-extracted images for deaf communication

  • Author

    Pearson, D.E.

  • Author_Institution
    University of Essex, Department of Electrical Engineering Science, Colchester, UK
  • Volume
    19
  • Issue
    16
  • fYear
    1983
  • Firstpage
    629
  • Lastpage
    631
  • Abstract
    Tests of the intelligibility of two types of feature-extracted images for deaf communication are reported, at data rates around 10 kbit/s. A mean score of 34% (based on word count) was obtained for 4 sequences; however, individual scores on some sequences were 100% correct. The results point to the need for better form identification and two-way system evaluations.
  • Keywords
    pattern recognition; picture processing; telephony; deaf communication; feature-extracted images; image processing; intelligibility; sign language transmission; telephony;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19830429
  • Filename
    4247927
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=987235