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．