Malaysian Sign Language Alphabet Recognition Through Hand Landmarks Feature and Machine Learning-Reference-Cited by-同舟云学术

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Malaysian Sign Language Alphabet Recognition Through Hand Landmarks Feature and Machine Learning

Published:2023-08-15 Issue: Volume:11 Page:183-186
ISSN:
Container-title:2023 International Conference on Engineering Technology and Technopreneurship (ICE2T)
language:
Short-container-title:

Author:

Quzaimi Bin Zainal Abidin Muhammad Amirul¹,Faiz Ramli Aizat¹,Basarudin Hafiz²

Affiliation:

1. Universiti Kuala Lumpur British Malaysian Institute,High Performance Computing for Industry 4.0,Selangor,Malaysia

2. Universiti Tunku Abdul Rahman,Centre for Communication Systems and Networks,Department of Electrical and Electronics Engineering,Selangor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10540481/10540460/10540543.pdf?arnumber=10540543

Reference13 articles.

1. Sign Language Recognition using Open CV;Juluru;International Journal of Science and Research (IJSR),2022

2. Artificial Intelligence Technologies for Sign Language

3. Image Processing Techniques for Hand Gesture and Sign Recognition;Divyashree;International Research Journal of Engineering and Technology,2019

4. Implementation of Image Processing Tools for Real-Time Applications;Bandgar;International Journal of Engineering Research & Technology (IJERT),2021

5. A pattern recognition model for static gestures in malaysian sign language based on machine learning techniques

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