Indian Sign Language Recognition

Authors

  • Ashwitha Anjali Maben  Computer science and Engineering, Srinivas Institute of Technology, Mangalore, Karnataka, India
  • Prajna Shetty  Computer science and Engineering, Srinivas Institute of Technology, Mangalore, Karnataka, India
  • Mamatha Salian  Computer science and Engineering, Srinivas Institute of Technology, Mangalore, Karnataka, India

DOI:

https://doi.org/10.32628/CSEIT217436

Keywords:

Indian Sign Language, Tensorflow, Extraction Algorithm

Abstract

The paper focuses on designing and developing an user interface to help out the dumb community in making a better use of their gestures. It mainly deals with making services of the hand gestures to be easily accessible and understandable to by the people using sign languages. This system makes use of data collected from standards of Indian Sign Languages (ISL). The system is built using machine learning tools, TensorFlow library. The result of this project is to translate the gestures into the texts and return it to the web interface. The sole reason of this project is to help the individual with speech and hearing impairment.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-08-30

Issue

Volume 7, Issue 4, July-August-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ashwitha Anjali Maben, Prajna Shetty, Mamatha Salian, " Indian Sign Language Recognition" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 4, pp.149-152, July-August-2021. Available at doi : https://doi.org/10.32628/CSEIT217436