METHODS FOR HANDLING FRAMES OF HAND GESTURE RECOGNITION

Abstract

One of the foremost imperative errands within the field of computer vision is motion acknowledgment. This article deals with the problem of recognizing hand gestures from a static image. To solve this problem, the article suggests using the segmentation method based on the skin color model, and the recognition method based on the analysis of the shape of the hand and the selection of features that classify the gesture image. Most strategies of preparing outlines of hand gestures are considered: smoothing and binarization of pictures, their revolution, and changing the foundation. The preferences of utilizing these strategies in understanding the issue of hand motion acknowledgment are displayed.