Indian Sign Language Recognition: A Comparative Analysis Using CNN and RNN Models-Reference-Cited by-同舟云学术

Indian Sign Language Recognition: A Comparative Analysis Using CNN and RNN Models

Published:2023-08-10 Issue: Volume: Page:
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Container-title:2023 International Conference on Circuit Power and Computing Technologies (ICCPCT)
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Author:

Renjith S¹^ORCID,Manazhy Rasmi²

Affiliation:

1. Amrita Vishwa Vidyapeetham,Computer Science and Engineering,Amritapuri,India

2. Amrita Vishwa Vidyapeetham,Electronics and Communication Engineering,Amritapuri,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244767/10244778/10245525.pdf?arnumber=10245525

Reference9 articles.

1. Comparative study of conditional generative models for isl generation;charan;IoT Based Control Networks and Intelligent Systems Proceedings of 3rd ICICNIS 2022,2022

2. Hand gesture recognition using DWT and F ‐ratio based feature descriptor

3. DCA‐based unimodal feature‐level fusion of orthogonal moments for Indian sign language dataset

4. A person independent system for recognition of hand postures used in sign language

5. A review on deep convolutional neural networks

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