基于燃火的手掌静脉图像细化技术研究  

Research on palmar vein image thinning technology based on fire

作　　者：吴留生[1] Wu Liusheng(Luoyang quality and technical supervision,inspection and Testing Center,Henan Luoyang 471003)

机构地区：[1]洛阳市质量技术监督检验测试中心

出　　处：《网络空间安全》2019年第12期110-115,共6页Cyberspace Security

摘　　要：针对燃火细化算法在细化手掌静脉图像时,容易产生冗余像素点,不能得到完整的单像素宽的手掌静脉纹理骨架现象。文章通过添加模板去除两种类型的非单像素点,弥补了算法的不足,并通过VC++编程实现。实验结果表明,改进的算法能够提取手掌静脉图像的骨架,更好地保持原始静脉架构,满足后续工作的需要。when the fire thinning algorithm is used to refine the palm vein image, it is easy to produce redundant pixels, and can not get a complete single pixel wide palm vein texture skeleton. In this paper, two types of non single pixel points are removed by adding template, which makes up for the shortcomings of the algorithm, and is realized by VC + + programming. The experimental results show that the improved algorithm can extract the skeleton of palm vein image, better maintain the original vein architecture, and meet the needs of subsequent work.

关 键 词：手掌静脉 图像 细化 燃火算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]