Published Paper Details:

Hand gesture recognition is one of the systems that can detect the gesture of a hand in a real-time video. Hand Gesture Recognition could be used in various areas like in shopping complexes, controlling different operations in a computer like a mouse or media player, etc. It gives the desired output according to the input given with our fingers. The gesture of hand is classified within a certain area of interest. In this study, designing hand gesture recognition is one of the complicated jobs that involves two major problems. Firstly, is the detection of hand. Another problem is to create a sign that is suitable to be used one hand at a time. This paper concentrates on how a system could detect, recognize and interpret hand gesture recognition through computer vision with the challenging factors which are variability in pose, orientation, location, and scale. To perform well in developing this paper, different types of gestures such as numbers and sign language need to be created in this system. In this paper, the detection of hand will be done using the theories of Region of Interest (ROI) via Python programming.