Different Skin Tone Segmentation from an Image Using KNN for Sign Language Recognition

Author:

Savant Rakesh R.ORCID,Nasriwala Jitendra V.ORCID,Bhatt Preeti P.ORCID

Publisher

Springer Nature Singapore

Reference14 articles.

1. Savant, R., & Ajay, A. (2018). Indian sign language recognition system for deaf and dumb using image processing and fingerspelling: A technical review. National Journal of System and Information Technology, 11(1).

2. Naji, S., Jalab, H. A., & Kareem, S. A. (2019). A survey on skin detection in colored images. Artificial Intelligence Review, 52(2), 1041–1087.

3. Ahmad, T. A. A. N., & Zakarya, F. A. R. O. U. (2020). Supervised learning methods for skin segmentation classification.

4. Dastane, T., Rao, V., Shenoy, K., & Vyavaharkar, D. (2021). An effective pixel-wise approach for skin colour segmentation using pixel neighbourhood technique. arXiv:2108.10971.

5. Sikandar, T., Ghazali, K. H., Mohd, I. I., & Rabbi, M. F. (2017, July). Skin color pixel classification for face detection with hijab and niqab. In Proceedings of the International Conference on Imaging, Signal Processing and Communication (pp. 1–4).

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