Hand Gesture Recognition Technique

In this paper, we proposed a robust real-time hand gesture recognition method. In our method, firstly, a specific gesture is required to trigger the hand detection followed by tracking; then hand is segmented using motion and color cues; finally, in order to break the limitation of aspect ratio encountered in most of learning based hand gesture methods, the scale-space feature detection is integrated into gesture recognition. In order to enable a more natural communication with virtual reality systems, automatic hand gesture recognition appears as a suitable means. Hand gesture recognition making use of digital images has been a research topic for many years. However, the use of range cameras for automatic gesture recognition is in its infancy. Hand gesture recognition system can be used for interfacing between computer and human using hand gesture. This work presents a technique for a human computer interface through hand gesture recognition that is able to recognize 25 static gestures from the American Sign Language hand alphabet. The objective of this thesis is to develop an algorithm for recognition of hand gestures with reasonable accuracy.