Hand tracking and gesture recognition

A communicative movement of human body parts having a specific message to be communicated by a receiver is denoted by a gesture. Gesture recognition helps to understand the meaning of human body movement that is movement of parts, which involves the movement of hand, head, arms, face or body. Today´s world is observing huge improvements in handling speeds and visualization displays. The main role is to explore gesture recognition designing for an efficient human-computer interaction. It presents a method for tracking hand gesture and recognizing hand gestures by extracting unique invariant features from gestures. The extracted feature is used to perform effective matching between different observations of a hand gesture.