Vision-based automatic hand gesture acknowledgement has been a very active research theme in recent years with inspiring applications such as human computer interaction (HCI), electronics device command, and signal language understanding. Hand sign recognition is presented through a curvature space procedure in which finding the boundary contours of the hand are engaged. This is a robust approach that is scale, translation and rotation invariant on the hand poses yet it is computationally demanding. A method for signal acknowledgement for signal language understanding has been proposed in computer vision. Human interaction involves various hand processing task like hand detection, recognition and hand tracking. This technology mainly focuses on the needs of physically challenged group of people and helps them to operate just by showing hand gestures. Thus, our project is aimed at making a system that could recognized human gesture through computer vision
