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The paper describes a gesture recognition algorithm which can effectively recognize single-hand gestures in real time under complex environment. The system involves a vocabulary of 20 gestures consisted by part of Chinese sign language letter spelling alphabet and digits. A new complexion model has been proposed to extract hand regions under a variety of lighting conditions. Real-time performance is due to a novel combination of voting theory and relief algorithm. This system is used in our mobile robot control project.