1. Joshi, G., Gaur, A.: Interpretation of Indian sign language using optimal hog feature vector. In: International Conference on Advances in Computing and Data Sciences, pp. 65–73. Springer, Singapore, (2018). Author, F., Author, S.: Title of a proceedings paper. In: Editor, F., Editor, S. (eds.) Conference 2016, LNCS, vol. 9999, pp. 1–13. Springer, Heidelberg (2016)
2. Triesch, J., Malsburg, C., Marcel, S.: Hand posture and gesture datasets: Jochen Triesch static hand posture database, 10 May 2014 (2014). https://www.idiap.ch/resource/gestures/
3. Jin, C.M., Omar, Z., Jaward, M.H.: A mobile application of American sign language translation via image processing algorithms. In: 2016 IEEE Region 10 Symposium (TENSYMP), pp. 104–109. IEEE (2016)
4. Bay, H., Tuytelaars, T., Van Gool, L.: Surf: speeded up robust features. In: European Conference on Computer Vision, pp. 404–417. Springer, Heidelberg (2006)
5. Moghaddam, M., Nahvi, M., Pak, R.H.: Static persian sign language recognition using kernel-based feature extraction. In: 2011 7th Iranian Conference on Machine Vision and Image Processing, pp. 1–5. IEEE (2011)