Vision-Based Static Hand Gesture Recognition System

Human-computer interaction has played a more and more important role in human's daily life. Recent years espacially, with the development of computer science, research on new human-computer interaction technology become extremely active, and advancement has been achieved. These research includes face recognition, expression recognition, hand gesture regognition, pose recognition and so on.Hand gesture is a natural and straight human-computer interaction method. There are two methods on hand gesture recognition, recognition based on data glove and recogniton based on vision. Take hand as the input equipment directly, communication between human and computer will need no more other intermediate media. Users can control the machines around simply sign to it with the hand gesture user itself defines. However, gesture has the characters of multi-mode, multi-meaning and has discrepancy under certain time and space situation; moreover, human hands are complicated transformed objects and there is visual instability, all of which make gesture recognition based on sight become a challengeable multi-subject research goal.This paper realized a static hand gesture recognition system based on vision. This system can recognize 14 common static hand gestures inputted from camera at real time, and control the powerpoint with the recognition result. It is a real-time system, so both recognition time and the correct recognition rate have to be considerd while designing the system. In the aspect of hand gesture modeling, the system adopt hand gesture model based on apparent; In the aspect of hand gesture analysis, the system picks up eight characters through image preprocess and character extraction; In the aspect of recognition, the system adopts two times classifation (rough classification and particular classification).The system consists of three part. First, preprocession of the original hand gesture image, in this part hand area is extracted from background...