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Hand Feature Extraction Algorithm Using Curvature Analysis For Recognition of Various Hand Gestures

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2015, 20(5), pp.13-20
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

윤홍찬 1 조진수 1

1가천대학교

Accredited

ABSTRACT

In this paper, we propose an algorithm that can recognize not only the number of stretched fingers but also determination of attached fingers for extracting features required for hand gesture recognition. The proposed algorithm detects the hand area in the input image by the skin color range filter based on a color model and labeling, and then recognizes various hand gestures by extracting the number of stretched fingers and determination of attached fingers using curvature information extracted from outlines and feature points. Experiment results show that the recognition rate and the frame rate are similar to those of the conventional algorithm, but the number of gesture cases that can be defined by the extracted characteristics is about four times higher than the conventional algorithm, so that the proposed algorithm can recognize more various gestures.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.