This site uses cookies. By continuing to use this site you agree to our use of cookies. To find out more, see our Privacy and Cookies policy.
Paper The following article is Open access

An efficient hand gestures recognition system

and

Published under licence by IOP Publishing Ltd
, , Citation Ahmed Kadem Hamed AlSaedi and Abbas H. Hassin AlAsadi 2020 IOP Conf. Ser.: Mater. Sci. Eng. 745 012045 DOI 10.1088/1757-899X/745/1/012045

1757-899X/745/1/012045

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.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.
10.1088/1757-899X/745/1/012045