Published Paper Details:

Hand gesture recognition provides an intelligence and natural way of interaction between human and computer i.e., HCI. The main goal of hand gesture recognition is to create a system which can identify the specific gestures of human and make use of them to convey information for control the device. Vision-based hand gesture recognition is considered to be more feasible for HCI in the field of computer vision and pattern recognition with the help of latest advances. The project deals with various techniques, methods and algorithms related to the gesture recognition. Hand gesture recognition has the advantage to communicate with the system through basic gesture language. Edge detection is the most commonly used technique in image analysis, and there are more algorithms to enhance and detect the edges. An edge is defined as the boundary between an object and the background, and it also indicates the boundary between overlapped objects. The threshold boundary is used for detecting hand and gestures of user very faster. Based on gestures the specific applications can be opened.