Hand Posture Recognition Method Based on Depth Image Technoloy

Aiming at the problem of hand posture recognition from complex backgrounds,this paper proposes a hand posture recognition method based on depth image technoloy.The hand posture region is extracted from complex background via depth image.Appearance features are integrated to build the decision tree for hand posture recognition.Nine common postures with complex background are tested.Experimental results demonstrate that recognition rate is 98.4% and speed rate achieves 25 frames per second.