An efficient hand gestures recognition system

Abstract

Talking about gestures make us return to the historical beginning of human communication because there is no language completely free of gestures. People cannot communicate without gestures. Any action or movement without gestures is free of real feelings and cannot express the thoughts. The purpose of any hand gesture recognition system is to recognize the hand gesture and used it to transfer a certain meaning or for computer control or/and a device. This paper introduced an efficient system to recognize hand gestures in real-time. Generally, the system is divided into five phases, first to image acquisition, second to pre-processing the image, third for detection and segmentation of the hand region, fourth to features extraction and fifth to count the numbers of fingers for gesture recognition. The system has been coded by Python language, PyAutoGUI library, OS Module of Python and the Open CV library.