Hand gesture recognition using DWT and F ‐ratio based feature descriptor
Author:
Affiliation:
1. Department of Electronics and Communication EngineeringNational Institute of TechnologyRourkela, Odisha769008India
2. School of Engineering and Technology (ECE), Adamas UniversityKolkataWest Bengal700126India
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2017.1312
Reference33 articles.
1. Gesture Recognition: A Survey
2. Recent methods and databases in vision-based hand gesture recognition: A review
3. 2016 NIT Rourkela D.K. Ghosh A Framework for Vision‐based Static Hand Gesture Recognition
4. Survey on 3D Hand Gesture Recognition
5. Enabling consistent hand‐based interaction in mixed reality by occlusions handling;Narducci F.;Multimedia Tools Appl.,2016
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