Turkish fingerspelling recognition with fast alignment, thick edge detection and correlation with penalization Hizh hizalama, kahn kenar bulma ve cezalandirmali korelasyon i̇le türk i̇şaret dili alfabesi tanima

ALTUN O., Albayrak S.

2007 IEEE 15th Signal Processing and Communications Applications, SIU, Eskişehir, Türkiye, 11 - 13 Haziran 2007, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2007.4298841
  • Basıldığı Şehir: Eskişehir
  • Basıldığı Ülke: Türkiye
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Fingerspelling is used for words that have no sign, or for words that the sign is unknown. In this work, the signs of Turkish Alphabet are recognized from video images. The methods used are fast alignment, thick edge extraction and correlation with penalization methods. A 99 percent success ratio is achieved.