手指书写汉字识别系统中的指尖检测方法

Fingertip Detection Approach for Finger-Writing Chinese Character Recognition System

为满足手指交互系统的需要,提出了一种快速、鲁棒的指尖检测方法,该方法首先分割前景,获得手的轮廓,然后采用网格抽样方法定位指尖的粗略位置,再通过环形特征匹配方法确定指尖的准确位置.实验结果表明,该方法检测指尖的准确率可以达到98.5%.将文中提出的指尖检测方法运用到新的手指书写汉字输入系统中,可以识别用户直接用手指书写的字符.

In order to meet the requirements of finger-computer interaction system, a fast robust fingertip detection method is proposed. In this method, first, the foreground is segmented to obtain the contour of the hand. Next, a candidate area is identified as the rough position of the fingertip by means of the grid sampling. Then, the accurate position of the fingertip is determined by means of the circle feature matching, reaching an accuracy of 98.5 %. Finally, the proposed fingertip detection method is applied to a finger-writing Chinese character recognition system, in which the computer can directly recognize the characters written by the fingers of a user.