Sign Language Recognition using Convolutional Neural Network

Authors

  • Prof. Pradyumna P. Kulkarni  Computer Science and Engineering, Anuradha Engineering College, Sant Gadgebaba Amravati, Chikhli, India
  • Suraj S. Bhute  Computer Science and Engineering, Anuradha Engineering College, Sant Gadgebaba Amravati, Chikhli, India
  • Akash P. Wagh  Computer Science and Engineering, Anuradha Engineering College, Sant Gadgebaba Amravati, Chikhli, India

Keywords:

Sign Language Recognition, Convolutional Neural Network, Recurrent Neural Network, ISL

Abstract

The inability to speak is considered to be a true disability. People with this disability use different modes to communicate with others, the hand gesture is one of the methods used in sign language for non-verbal communication. Developing sign language application for deaf people are often vital, as they

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International Journal of Scientific Research in Science and Technology

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Published

2020-02-17

Issue

Volume 5, Issue 6, January-February-2020

Section

Research Articles

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

How to Cite

[1]
Prof. Pradyumna P. Kulkarni, Suraj S. Bhute, Akash P. Wagh, " Sign Language Recognition using Convolutional Neural Network, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 6, pp.48-58, January-February-2020.