| Issue |
ITM Web Conf.
Volume 40, 2021
International Conference on Automation, Computing and Communication 2021 (ICACC-2021)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 5 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20214003004 | |
| Published online | 09 August 2021 | |
Indian Sign Language Recognition using Convolutional Neural Network
Ramrao Adik Institute Of Technology, Nerul, India
* e-mail: rachanakp22@gmail.com
** e-mail: vivek.a.patil202@gmail.com
*** e-mail: abhigolu1229@gmail.com
**** e-mail: gaurav.datkhile@rait.ac.in
Communicating with the person having hearing disability is always a major challenge. The work presented in paper is an exertion(extension) towards examining the difficulties in classification of characters in Indian Sign Language(ISL). Sign language is not enough for communication of people with hearing ability or people with speech disability. The gestures made by the people with disability gets mixed or disordered for someone who has never learnt this language. Communication should be in both ways. In this paper, we introduce a Sign Language recognition using Indian Sign Language.The user must be able to capture images of hand gestures using a web camera in this analysis, and the system must predict and show the name of the captured image. The captured image undergoes series of processing steps which include various Computer vision techniques such as the conversion to gray-scale, dilation and mask operation. Convolutional Neural Network (CNN) is used to train our model and identify the pictures. Our model has achieved accuracy about 95%
Key words: Convolutional Neural Network(CNN) / Hand Gesture / Deaf people / Sign Language / Sign language Recognition(SLR) / ISL(Indian Sign Language)
© The Authors, published by EDP Sciences, 2021
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