IJSRP Logo
International Journal of Scientific and Research Publications

IJSRP, Volume 4, Issue 12, December 2014 Edition [ISSN 2250-3153]


Hand Gesture Recognition Techniques For Human Computer Interaction Using OpenCv
      Sajjad Ur Rahman, Zeenat Afroze, Mohammed Tareq
Abstract: A few decades ago, usage of computer was so tough and complicated that none but scientists could use it. But now with the passage of time and to cope with the demand of our every sphere of life, usage of computer has become so easy that everyone can use it. At present, mouse or keyboard is being used to interact with the computer. But sometimes it seems uncomfortable because people don’t want to get off from where they are sitting or lying. This paper proposed a technique for man-machine interaction which is based on gesture recognition using openCV technology which provides basic data structures for image processing with most favorable efficiency [1]. A hand image is taken as input to detect the hand easily in this system. In this paper, all the hand gesture images are captured from a single web camera. The proposed algorithm also helps to locate the palm and fingertip in hand gesture.

Reference this Research Paper (copy & paste below code):

Sajjad Ur Rahman, Zeenat Afroze, Mohammed Tareq (2018); Hand Gesture Recognition Techniques For Human Computer Interaction Using OpenCv; Int J Sci Res Publ 4(12) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-1214.php?rp=P363513
©️ Copyright 2011-2023 IJSRP - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.