基于多点特征提取的手势识别的研究

手势识别系统是指人类用语言中枢建立起来的一套用手掌和手指位置、形状构成的特定语言系统。为了解决传统手势识别计算量大的问题,在已有的手势识别基础上,提出一种重心距离的手势识别方法。通过肤色检测方法进行手势分割,计算手的重心,将手的边缘的点与重心点的距离按顺时针方向或者逆时针方向遍历,就会出现五个峰值,分别是五个手指。实验结果表明,与现有方法相比,此方法在识别速度方面有了明显的提高。

Gesture recognition system （GRS） is a special language system composed of palm and finger position and shape, which is established by human language center. In order to solve the problem of heavy computation in traditional gesture recognition, a new gesture recognition method based on barycentric distance is proposed. The skin color detection method is used to segment the hand gesture, calculate the center of gravity of the hand, and traverse the distance between the edge of the hand and the center of gravity clockwise or counterclockwise, and there will be five peaks, five fingers respectively. The experimental results show that the recognition speed of the proposed method is much higher than that of the existing methods.