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Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features Cover

Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features

Applied Computer Systems
Volume 26 (2021): Issue 1 (May 2021)
By: Abdulkadir Karacı,  Kemal Akyol and  Mehmet Ugur Turut  
Open Access
|Jun 2021

Authors

Abdulkadir Karacı

akaraci@kastamonu.edu.tr

Kastamonu University, Faculty of Engineering and Architecture, Computer Engineering, Kastamonu, Turkey

Kemal Akyol

kakyol@kastamonu.edu.tr

Kastamonu University, Faculty of Engineering and Architecture, Computer Engineering, Kastamonu, Turkey

Mehmet Ugur Turut

ugrmhmt@gmail.com

Kastamonu University, Faculty of Engineering and Architecture, Computer Engineering, Kastamonu, Turkey
DOI: https://doi.org/10.2478/acss-2021-0002 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 12 - 21
Published on: Jun 4, 2021
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Cascade voting,
handcrafted features,
machine learning,
sign language recognition,
Turkish sign language
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2021 Abdulkadir Karacı, Kemal Akyol, Mehmet Ugur Turut, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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