Sign Language Recognition using VGG16 and ResNet50-Reference-Cited by-同舟云学术

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Sign Language Recognition using VGG16 and ResNet50

Published:2024-02-28 Issue: Volume:7 Page:996-1001
ISSN:
Container-title:2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)
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Author:

Gupta Rohan¹,Gupta Krishnam²,Pandit Chirag²,Singh Prabhjot²

Affiliation:

1. University Institute of Engineering Chandigarh University,Department of ECE,Mohali,India

2. University Institute of Engineering Chandigarh University,Department of CSE,Mohali,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498128/10498148/10498253.pdf?arnumber=10498253

Reference37 articles.

1. Sign Language Detection using Image Processing and Deep Learning;Varma;Int. Res. J. Engg. and Tech.,2020

2. Sign language Recognition Using Machine Learning Algorithm;Shirbhate;Int. Res. J Engg. and Tech.,2020

3. Sign Language Recognition;Kodandaram;Turkish Journal of Computer and Mathematics Education,2021

4. Sample Level Human Action Recognition using WiFi;Wang

5. Sign Language Recognition: State of the Art;Sahoo;ARPN J. Engg. and Appl. Sci,2014

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