A Comprehensive Study on Feature Extraction and Classification Techniques for Sign Language Recognition-Reference-Cited by-同舟云学术

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A Comprehensive Study on Feature Extraction and Classification Techniques for Sign Language Recognition

Published:2021-12-02 Issue: Volume: Page:
ISSN:
Container-title:2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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Author:

Singh Janpreet,Singh Harjeet,Goyal Vishal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9675837/9675843/09676024.pdf?arnumber=9676024

Reference45 articles.

1. Static hand gesture recognition of Persian sign numbers using thinning method

2. Indian sign language recognition using ANN and SVM classifiers

3. Automatic sign language identification

4. American Sign Language recognition by using 3D geometric invariant feature and ANN classification

5. Sign Language Recognition Using Principal Component Analysis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Time Hand Gesture Recognition with Voice Conversion for Deaf and Dumb;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

2. Sign Language Recognizer: A Deep Learning Approach;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05

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