Development of a hybrid word recognition system and dataset for the Azerbaijani Sign Language dactyl alphabet-Reference-Cited by-同舟云学术

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Development of a hybrid word recognition system and dataset for the Azerbaijani Sign Language dactyl alphabet

Published:2023-09 Issue: Volume:153 Page:102960
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Hasanov Jamaladdin^ORCID,Alishzade Nigar^ORCID,Nazimzade Aykhan,Dadashzade Samir,Tahirov Toghrul

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference47 articles.

1. Machine learning methods for sign language recognition: A critical review and analysis;Adeyanju;Intell. Syst. Appl.,2021

2. Intelligent reading system based on mobile platform;Aida-zade,2012

3. Selection of the optimal class of features for recognition of the azerbaijani handprinted characters;Aliev,2021

4. Azerbaijan sign language alphabet recognition system GitHub repository;Alishzade,2022

5. Azerbaijani sign language recognition using machine learning approach;Aliyev;J. Phys. Conf. Ser.,2022

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