基于手指轮廓的手形识别算法

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Title:

Hand shape recognition algorithm based on finger contour

作者:

李洋^1,2, 刘富², 康冰², 高雷²

1. 长春汽车工业高等专科学校电气工程学院, 吉林长春 130011;
2. 吉林大学通信工程学院, 吉林长春 130022

Author(s):

LI Yang^1,2, LIU Fu², KANG Bing², GAO Lei²

1. College of Electrical Engineering, Changchun Automobile Industry Institute, Changchun 130011, China;
2. College of Communication Engineering, Jilin University, Changchun 130022, China

关键词:

手形识别; 手形定位; 轮廓拟合; 轮廓重叠; 面积重合比

Keywords:

hand shape recognition; hand positioning; contour fitting; outline overlap; area coincidence ratio

分类号:

TP391.4

DOI:

10.11992/tis.201506039

摘要:

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。

Abstract:

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 contour 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 avoids high instability of the finger root contour.