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

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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

Articles in this issue

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.

Volume 26 (2021): Issue 1 (May 2021)

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