Corpus ID: 202537433

A New GNG Graph-Based Hand Gesture Recognition Approach

@article{Mirehi2019ANG,
  title={A New GNG Graph-Based Hand Gesture Recognition Approach},
  author={Narges Mirehi and Maryam Tahmasbi},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.03534}
}
Hand Gesture Recognition (HGR) is of major importance for Human-Computer Interaction (HCI) applications. In this paper, we present a new hand gesture recognition approach called GNG-IEMD. In this approach, first, we use a Growing Neural Gas (GNG) graph to model the image. Then we extract features from this graph. These features are not geometric or pixel-based, so do not depend on scale, rotation, and articulation. The dissimilarity between hand gestures is measured with a novel Improved Earth… Expand

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