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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und Mehmet Ugur Turut
Kastamonu University, Faculty of Engineering and Architecture, Computer EngineeringKastamonu, Turkey
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04. Juni 2021
Über diesen Artikel
Online veröffentlicht: 04. Juni 2021
Seitenbereich: 12 - 21
DOI: https://doi.org/10.2478/acss-2021-0002
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© 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