为满足手指交互系统的需要，并能够达到对倾斜指势进行准确识别的要求，本文介绍了一种快速、准确对指尖检测定位并实时识别倾斜指势的方法。该方法利用YCbCr 颜色空间分割算法对肤色聚类进行粗分割，然后运用“周积比”概念对预处理区域进行细化分割，剔除除手部以外的肤色干扰区域并利用最小二乘法二项式拟合算法获取手指轮廓。采用改进的凸包络优化算法完成指尖的检测及倾斜修正。最后，进行局部扫描获得最终的指势识别。实验表明本文介绍的方法能实现简单倾斜指势0?9 的识别且识别率高达95.7%，稳定性较好。

To meet the needs of finger interaction system and the recognition of tilt fingertips, a fast and accurate method is described to detect the position of fingertips and real-time recognize tilt fingertip gesture. This method uses YCbCr color-space-segmentation-algorithm to devise complexion roughly. After that, preprocessing regions are segmented carefully by the concept of "proportion of perimeter and acreage" to eliminate interference region other than the hand skin color. In addition, obtain the finger profile by binomial method of least squares fitting algorithm. Besides, the improved convex algorithms are employed to complete the fingertips detection and correct tilt angle. Finally, fingertips are recognized by means of partial scan method. Experimental results demonstrate that the proposed method can realize the recognition refers to easy tilt fingertips of zero to night, and reach the high recognition rate of 95.7%. Apart from this, stable performance are achieved．