Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features
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DOI: https://doi.org/10.2478/acss-2021-0002 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683 (formerly 2255-8691)
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
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© 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.