Recognition of vowels letters of Turkish sign language by artificial neural networks

SELDA B., Vasif N. V.

IEEE 14th Signal Processing and Communications Applications, Antalya, Turkey, 16 - 19 April 2006, pp.125-126 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2006.1659858
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.125-126
  • Karadeniz Technical University Affiliated: Yes


Modeling human behaviors (thinking, communication, body languages etc) is very important to develop intelligent interfaces in human machine interaction. This paper suggests solutions for some of the problems of deaf people in education and communication by modeling sign language. We mostly focus on recognition of letters, which are the bases of a sign language. Artificial neural networks are employed to recognize the vowels of Turkish Sign Language.