Detection of Turkish Sign Language Using Deep Learning and Image Processing Methods
Author:
Affiliation:
1. Mechatronics Engineering Department, Isparta University of Applied Sciences, Isparta University of Applied Sciences Technology Faculty, Isparta, Turkey
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1982184
Reference75 articles.
1. Hand Gesture Recognition for Sign Language Using 3DCNN
2. IMPROVING GESTURE RECOGNITION IN THE ARABIC SIGN LANGUAGE USING TEXTURE ANALYSIS
3. User-Independent American Sign Language Alphabet Recognition Based on Depth Image and PCANet Features
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