Paper Title
Static Hand Gesture Recognition System For Device Control

Abstract
The primary goal of Gesture Recognition is to create a system which can recognize specific human gestures and can be used to convey information or for device control. This paper aims at development of a Hand Gesture Recognition (HGR) system captured from a webcam in real time. The system consists of three stages: image acquisition, feature extraction, and recognition. In the first stage input image of hand gestures are acquiesced by digital camera in approximate frame rate. In second stage a rotation, scaling and orientation invariant feature extraction method has been introduced to extract the feature of the input image. Finally, edge detection is used and K-Curvature algorithm is applied to recognize the hand gestures. Keywords: Hand Gesture Recognition, Static HGR