본문 바로가기
  • Home

Division of the Hand and Fingers In Realtime Imaging Using Webcam

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(9), pp.1-6
  • DOI : 10.9708/jksci.2018.23.09.001
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 16, 2018
  • Accepted : September 14, 2018
  • Published : September 28, 2018

Kim, ho-yong 1 PARK JAE HEUNG 2 Seo Yeong Geon 2

1영진전문대학교
2경상대학교

Accredited

ABSTRACT

In this paper, we propose a method dividing effectively the hand and fingers using general webcam. The method executes 4 times empirically preprocessing one to erase noise. First, it erases the overall noise of the image using Gaussian smoothing. Second, it changes from RGB image to HSV color model and YCbCr color model, executes a global static binarization based on the statistical value for each color model, and erase the noise through bitwise-OR operation. Third, it executes outline approximation and inner region filling algorithm using RDP algorithm and Flood fill algorithm and erase noise. Lastly, it erases noise through morphological operation and determines the threshold propositional to the image size and selects the hand and fingers area. This paper compares to existing one color based hand area division method and focuses the noise deduction and can be used to a gesture recognition application.

Citation status

* References for papers published after 2022 are currently being built.