A Comparative Study on Sign Language Recognition Methods-Reference-Cited by-同舟云学术

A Comparative Study on Sign Language Recognition Methods

Published:2022-07-15 Issue: Volume: Page:
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Container-title:2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Dalal Sarthak¹,Kacheria Rohan¹,Venkataramanan V¹

Affiliation:

1. Dwarakadas.J. Sanghvi College of Engineering, Vile Parle (West),Department of Electronics and Telecommunication,Mumbai,400056

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9914000/9914005/09914329.pdf?arnumber=9914329

Reference19 articles.

1. Sign Language to Text Conversion Using Deep Learning;kartik;Inventive Communication and Computational Technologies,2020

2. Sign Language Translator Using Deep Learning;patil;EasyChair,2020

3. Sign Language to Text and Speech Translation in Real Time Using Convolutional Neural Network;ojha;INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) NCAIT – 2020,2020

4. Conversion of sign language into text;nb;International Journal of Applied Engineering Research,2018

5. Indian sign language recognition using ANN and SVM classifiers

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