Implementation of Real-time Recognition System for Korean Sign Language

한글 수화의 실시간 인식 시스템의 구현

  • 한영환 (상지대학교 컴퓨터정보공학부)
  • Published : 2005.08.01


In this paper, we propose recognition system which tracks the unmarked hand of a person performing sign language in complex background. First of all, we measure entropy for the difference image between continuous frames. Using a color information that is similar to a skin color in candidate region which has high value, we extract hand region only from background image. On the extracted hand region, we detect a contour and recognize sign language by applying improved centroidal profile method. In the experimental results for 6 kinds of sing language movement, unlike existing methods, we can stably recognize sign language in complex background and illumination changes without marker. Also, it shows the recognition rate with more than 95% for person and $90\sim100%$ for each movement at 15 frames/second.


Sign Language;Entropy;Profile;Gesture Recognition