圆盘法的手形特征点定位改进算法

An improved algorithm for hand feature points localization based on disk method

为改善经典圆盘法受手形张开程度的影响太大,导致圆盘半径的大小及像素阈值难以确定的缺点,提高该方法在实际应用中的可行性,文中提出了改进型圆盘算法。通过对圆盘算法原理及手形轮廓特点进行分析,提出了圆盘极值算法,该算法采用圆盘邻域极值的方法对手指指峰点、指谷点分别确定,避免了像素阈值的使用,同时给予圆盘半径更大的适用空间,解决了圆盘法的局限性。实验表明应用该算法特征点定位成功率达98.8%,与圆盘法相比提高了40%左右。而在此基础上的基于特征矢量的手形识别率达87.1%。算法可以准确定位特征点,具有可行性。

The disk method is heavily limited to hand opening degree,resulting in that it is hard to determine the disk radius size and pixel threshold. Therefore,the algorithm is not feasible in practical applications. In response to this limitation of disc algorithm,the authors proposed a disc extremum algorithm through analysis of the disc algorithm principle and hand-shaped profile characteristics. The algorithm uses the disk neighborhood extreme value method to determine the peak point and the valley point of the finger,avoiding the use of pixel threshold,while giving the disk radius a greater applicable space. The algorithm solves the limitation of disk algorithm. Experiments show that the algorithm＇s features localization success rate is up to 98. 8%,increasing about 40% by comparison with the disc algorithm. And on this basis,hand recognition rate based on the feature vectors is 87. 13%. The algorithm can accurately locate feature points,and it is feasible.