Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/26683/hand-region-detection-using-cbcr-color-space-and-otsu%E2%80%99s-method/phyu-myo-thwe
call for paper arts, ugc approved journals for social science, commerce journal
Hand Segmentation is the most important steps for hand gesture recognition. If the correctly detect the hand, the hand gesture recognition accuracy will increase. In our research, we used two different threshold based segmentation methods to detect the hand in various background conditions simplex and complex and various illumination conditions and compare the accuracy. The main objective of this paper is to investigate the best threshold values of CbCr threshold based method on the performance of hand segmentation process. The proposed system used the CbCr color threshold based method with various threshold values and otsu's method for skin color hand segmentation.
