Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features
Abdulkadir Karacı
Kastamonu University, Faculty of Engineering and Architecture, Computer EngineeringKastamonu, Turkey
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, Kemal Akyol
Kastamonu University, Faculty of Engineering and Architecture, Computer EngineeringKastamonu, Turkey
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oraz Mehmet Ugur Turut
Kastamonu University, Faculty of Engineering and Architecture, Computer EngineeringKastamonu, Turkey
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04 cze 2021
O artykule
Data publikacji: 04 cze 2021
Zakres stron: 12 - 21
DOI: https://doi.org/10.2478/acss-2021-0002
Słowa kluczowe
© 2021 Abdulkadir Karacı et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Karacı, Abdulkadir
Kastamonu University, Faculty of Engineering and Architecture, Computer EngineeringKastamonu, Turkey
Akyol, Kemal
Kastamonu University, Faculty of Engineering and Architecture, Computer EngineeringKastamonu, Turkey
Turut, Mehmet Ugur
Kastamonu University, Faculty of Engineering and Architecture, Computer EngineeringKastamonu, Turkey