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Sign Language Recognition System Using SVM and Depth Camera

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(11), pp.63-72
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김기상 1 HYUNG IL CHOI 1

1숭실대학교

Accredited

ABSTRACT

In this paper, we propose a sign language recognition system using SVM and depth camera. Especially,we focus on the Korean sign language. For the sign language system, we suggest two methods, one inhand feature extraction stage and the other in recognition stage. Hand features are consisted of thenumber of fingers, finger length, radius of palm, and direction of the hand. To extract hand features, weuse Distance Transform and make hand skeleton. This method is more accurate than a traditional methodwhich uses contours. To recognize hand posture, we develop the decision tree with the hand features. For more accuracy, we use SVM to determine the threshold value in the decision tree. In the experimentalresults, we show that the suggested method is more accurate and faster when extracting hand features arecognizing hand postures.

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.