Extracting of five characteristic parameters using in static gesture recognition
- 软件学院－会议论文 
Proposed a static gesture recognition method for identifying characteristics of the object in combination. With the feature vector composed of five features, such as the number of fingers, gesture outline convex defect characteristics, the length and area of contour and Hu matrix, we adopted the template-matching method to conduct the matching of featured parameters. Experiments show that the method successfully recognized static gestures under complex background and could reduce the impact of environmental change simultaneously. ? (2013) Trans Tech Publications, Switzerland.