基于手指轮廓的手形识别算法

摘要

To solve the low⁃stability problem of palm shape in hand shape recognition, this study presents a type of hand shape recognition algorithm based on a finger contour. First, the algorithm separates the five fingers from a hand and then locates the finger central axis by fitting the finger contour. By overlapping the registered finger con⁃tour and the finger contour to be recognized on basis of the finger central axis, the algorithm then calculates the area proportion of finger overlap regions. Compared with other hand recognition algorithms, the recognizability rate can reach 99.890% in the experiment. The study takes full advantage of the high stability of the finger contour and a⁃voids high instability of the finger root contour.%针对手形识别中手掌形状稳定性低的问题，设计了一种基于手指轮廓的手形识别算法。该算法首先从手形图像中分离出五指，然后拟合手指轮廓定位手指中轴线，接着依据手指中轴线重合注册手指和待识别手指，最后计算手指重合面积比。与已有的基于轮廓的手形识别算法相比，该算法的识别率高达99．890％，说明了提出的算法充分利用了手指轮廓的稳定性，规避了指根处轮廓的不稳定性。