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Original Article

Sign Language recognition using Machine learning

Thotakura Padmanabha Asrith1 Ravuri Likhil Mohan Abhiram Naidu2 Dr.V.Ulagamuthalvi3
1 2 3 Department of CSE, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.

Published Online: March-April 2026

Pages: 145-151

References

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(FIT), Islamabad, Pakistan, Dec. 2018, pp. 147-151.
3. T. Starner and A. Pentland, "Real-time American Sign Language recognition from video using hidden Markov models," in Proc. Int.
Symp. Computer Vision, Coral Gables, FL, USA, Nov. 1995, pp. 265-270.
4. R. Rastgoo, K. Kiani and S. Escalera, "Sign language production: A review," Expert Syst. Appl., vol. 164, p. 113794, Feb. 2021
5. M. Kumar, D. Sharma, "Real-time sign language gesture recognition using CNN," in Proc. IEEE Int. Conf. Computing,
Communication and Automation (ICCCA), Greater Noida, India, Dec. 2020, pp. 567-572.
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and Management for Computing, Communicating, Controls, Energy and Materials (ICSM), Chennai, India, Aug. 2019, pp. 186 - 190.
8. G. R. K. S. Subramanian and P. Rajesh, "Vision-based Indian Sign Language recognition using convolutional neural networks," Int. J.
Eng. Technol., vol. 7, no. 3, pp. 112--118, Mar. 2018.
9. C. Keskin, F. Kiraq, Y. E. Kara, and L. Akarun, "Real time hand pose estimation using depth sensors," in Proc. IEEE Int. Conf.
Computer Vision Workshops (ICCVW), Barcelona, Spain, Nov. 2011, pp. 1228-1234.
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43, pp. 1–54, Jan. 2015.

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