关键词: 手势识别, 指尖检测, 曲率计算, Hu不变矩

Abstract: The recognition algorithm based on outline feature can deal with the appearance changes of hand gestures very well, but the accuracy and robustness of the existing gesture recognition is low when the target is rotated and scaled. A new gesture recognition method based on finger tip and Hu invariant moments is proposed for the problem above. This method improves the fingertip detection based on fingertip curvature, which enhances robustness of feature extraction from the finger tips. It??also?improves the global description of gesture model by f-using hand fingertips and Hu invariant moments. Besides, it uses recognition algorithm in which new gestures can be added automatically to improve feasibility of the algorithm. Experiments show that the proposed method can effectively improve the accuracy and robustness of gesture recognition without reducing efficiency.

Key words: hand gesture recognition, fingertip detection, curvature calculation, Hu invariant moment