光学学报, 2010, 30 (10): 2994, 网络出版: 2012-10-24
基于手部尺寸特征的手形认证方法
Hand Shape Verification Method Based on Hand Geometry Feature
医用光学与生物技术 生物特征识别 手形认证 尺寸特征 相对长度 medical optics and biotechnology biological-feature recognition hand shape identification geometry feature relative length
摘要
针对手形几何特征可测量的优点以及现有手形认证方法的局限性,提出了一种基于手部尺寸特征的手形认证方法。通过曲率角定位特征点,由特征点计算出手的不同部位的尺寸,再由这些尺寸构成相对长度特征向量,最后通过计算特征向量之间的欧氏距离实现手形认证。用该方法,在仅有5个特征参与匹配的情况下达到了91.08%的识别率,11个特征参与匹配时达到93.27%的识别率。结果表明,手的尺寸特征可以作为手形认证的一部分有效特征,应用该方法在选取的特征数较少的情况下即可得到较高的识别效果,且该方法实现简单、运算量小,具有实用性的特点。
Abstract
A method for personal identification based on hand geometric feature according to the measurable characteristic of hand shape is presented. Firstly feature points are localized by using curvature, according to which the absolute length of some parts of hand can be calculated. Then an eigenvector composed of relative lengths is obtained. The relative lengths in the eigenvector are generated from the absolute lengths of some parts of hand. At last, personal identification is achieved by computing Euclidean distance between eigenvectors. In the experiment, the accurate recognition rate is 91.08% by using only five characters, and 93.27% when the character number used to identify is 11. The experimental results show that, personal identification can be achieved by using the relative length of hand geometric feature. It can reach a high recognition rate only by use a few characters using the method proposed, and the method is easy to realize with characteristic of high utility.
苑玮琦, 董茜. 基于手部尺寸特征的手形认证方法[J]. 光学学报, 2010, 30(10): 2994. Yuan Weiqi, Dong Qian. Hand Shape Verification Method Based on Hand Geometry Feature[J]. Acta Optica Sinica, 2010, 30(10): 2994.