Fingertip detection based on Freeman chain code analysis

Abstract

In order to meet the requirements of real-time fingertip positioning and detection in some scenes, a fingertip detection method based on Freeman chain code analysis is proposed in this paper. Firstly, the image collected by the camera needs to be preprocessed. The edge information of the palm is obtained by median filtering, analyzing the skin color space, binarization and morphological processing. The Freeman chain code of the hand contour is obtained by contour tracking calculation. After the convex points of the chain code of the hand contour are repaired, the matching points are analyzed according to the chain code difference, so as to realize the function of fingertip detection. The test shows that the fingertip detection based on Freeman chain code can detect the fingertip position quickly and accurately, and has good detection performance.