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Original Article

Sign Language recognition using Machine learning

  • Paper ID 1056
  • Volume 7, Issue 2
  • Pages 145-151
  • Published Online: March-April 2026
  • 30 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • 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.

Article Information

Published Online
March-April 2026
Pages
145-151
Article Type
Original Article
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References

1. A. K. Jain, P. Flynn and A. A. Ross, Handbook of Biometrics. New York, NY, USA: Springer, 2008.
2. S. M. Anwar and R. Qureshi, "Sign language recognition using deep learning," in Proc. Int. Conf. Frontiers of Information Technology
(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.
6. P. K. Pisharady, M. Saerbeck, Recent methods and databases in vision-based hand gesture recognition: A review, Comput. Vis. Image
Understand., vol. 141, pp. 152–165, Dec. 2015.
7. S. Sudha, A. Mahalakshmi, "Sign language recognition using machine learning techniques," in Proc. Int. Conf. Smart Technologies
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.
10. S. S. Rautaray, A. Agrawal, Vision based hand gesture recognition for human computer interaction: A survey, Artif. Intell. Rev., vol.
43, pp. 1–54, Jan. 2015.
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