Image Based Sign Language Recognition using Neuro - Fuzzy Approach

Authors

  • Hemina Bhavsar  Department of Computer Science, S. S.Agrawal Institute of Computer Science, Navsari , Gujarat, India
  • Dr. Jeegar Trivedi  Department of Computer Science, Sardar Patel University Anand, Gujarat, India

Keywords:

NLP, SLR

Abstract

Sign language is the language of deaf & dumb people. They expressed their thoughts in the form of sign language. This paper proposed sign language recognition (SLR) system which is the computerized system useful for translation of sign language into English language in the form of text. It will be use video data of deaf & dumb people and translate into English text. Proposed system recognizes both hand movements including face. Various image processing techniques are defined in this paper which will use for process the images. Convex hull feature extraction method will be applied for extract features which will classify by Neuro-Fuzzy classification approach. Recognized words will be inputted into NLP (Natural Language Processing) engine to format into the sentence.

References

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

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

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]
Hemina Bhavsar, Dr. Jeegar Trivedi, " Image Based Sign Language Recognition using Neuro - Fuzzy Approach, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.487-491, January-February-2018.