Arabic Sign Language Recognition Using Spatio-Temporal Local Binary Patterns and Support Vector Machine

Saleh Aly, Safaa Mohammed. Arabic Sign Language Recognition Using Spatio-Temporal Local Binary Patterns and Support Vector Machine. In Aboul Ella Hassanien, Mohamed F. Tolba, Ahmad Taher Azar, editors, Advanced Machine Learning Technologies and Applications - Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings. Volume 488 of Communications in Computer and Information Science, pages 36-45, Springer, 2014. [doi]

@inproceedings{AlyM14,
  title = {Arabic Sign Language Recognition Using Spatio-Temporal Local Binary Patterns and Support Vector Machine},
  author = {Saleh Aly and Safaa Mohammed},
  year = {2014},
  doi = {10.1007/978-3-319-13461-1_5},
  url = {http://dx.doi.org/10.1007/978-3-319-13461-1_5},
  researchr = {https://researchr.org/publication/AlyM14},
  cites = {0},
  citedby = {0},
  pages = {36-45},
  booktitle = {Advanced Machine Learning Technologies and Applications - Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings},
  editor = {Aboul Ella Hassanien and Mohamed F. Tolba and Ahmad Taher Azar},
  volume = {488},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-319-13460-4},
}