Turkish Sign Language Recognition Application Using Motion History Image

Yalcinkaya O., Atvar A., DUYGULU ŞAHİN P.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.801-804 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2016.7495861
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.801-804
  • Hacettepe University Affiliated: Yes


Recognizing sign language is an important interest area since there are many speech and hearing impaired people in the world. They need to be understood by other people and understand them as well. Unfortunately, the number of people who have the knowledge of sign language is not many. In order to communicate with handicapped people, existence of some automatized systems may be helpful. Therefore, in this work, we aimed to implement a system that recognizes the sign language and converts it to text to help people while communicating with each other where the input scene is taken from camera.