基于局部分块式手形特征点定位算法

Location Algorithm Based on the Block-Type Hand-Shaped Feature Points

手形特征点定位的准确性直接影响手形匹配的正确性,在现有的手形特征定位的基础上,提出了一种基于局部分块扫描式的特征点定位算法,算法由最容易定位的中指指峰入手,再根据中指指峰坐标按照固定顺序一步步递推式分块确定其余手指的指峰点和指谷点的坐标.再根据已确定的特征点提取手形特征矢量,应用基于手形特征矢量的匹配算法进行匹配.实验结果表明,该算法的特征点定位成功率达93%,手形正确识别率为80.5%,可以准确的对手形进行特征点定位,算法具有可行性.

The accuracy of the hand feature points location directly affects the correctness of the hand matching. On the basis of the existing hand features location, this paper proposes a feature points location algorithm, which is based on partial blocks scanning. The algorithm starts from the middle finger peak which is the most easy to locate. Then we determine the coordinates of the rest fingers peak points and valley points, step by step according to a fixed order recursive formula block based on the coordinate of the middle finger peak. Then, we extract the hand feature vectors based on the determined feature point and use matching algorithm based on the hand feature vectors to match. Experimental results show that the success rate of the algorithm＇s feature points is up to 93% and the accuracy rate of the hand shape recognition is up to 80.5%. This indicates that the algorithm can accurately locate the hand feature points and the algorithm is feasible.