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http://dx.doi.org/10.9708/jksci.2018.23.09.001

Division of the Hand and Fingers In Realtime Imaging Using Webcam  

Kim, Ho Yong (School of Computer Information in Yeungjin College)
Park, Jae Heung (Dept. of Computer Science, Gyeongsang Nat'l University)
Seo, Yeong Geon (Dept. of Computer Science, Graduate School of CCBM and Engineering Research Institute in Gyeongsang Nat'l University)
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.
Keywords
RGB color based; Hand Division; Realtime Imaging; Hand and Fingers; Gesture recognition;
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