A two-stage visual turkish sign language recognition system based on global and local features

HABERDAR H., VARLI S.

16th International Symposium on Methodologies for Intelligent Systems, ISMIS 2006, Bari, İtalya, 27 - 29 Eylül 2006, cilt.4203 LNAI, ss.29-37, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 4203 LNAI
  • Doi Numarası: 10.1007/11875604_5
  • Basıldığı Şehir: Bari
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.29-37
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

In order to provide communication between the deaf-dumb people and the hearing people, a two-stage system translating Turkish Sign Language into Turkish is developed by using vision based approach. Hidden Markov models are utilized to determine the global feature group in the dynamic gesture recognition stage, and k nearest neighbor algorithm is used to compare the local features in the static gesture recognition stage. The system can perform person dependent recognition of 172 isolated signs. © Springer-Verlag Berlin Heidelberg 2006.