用于提高军事信息安全的掌静脉识别方法  

Palm Vein Recognition Method for Improving Military Information Security

作　　者：罗秋伟 李学双 苏博远 蓝师伟 LUO Qiuwei;LI Xueshuang;SU Boyuan;LAN Shiwei(Top Glory Technology Incorporated Company,Taiyuan 030006,China)

机构地区：[1]圣点世纪科技股份有限公司,太原030006

出　　处：《火力与指挥控制》2022年第12期175-178,185,共5页Fire Control & Command Control

摘　　要：随着对军事信息安全性需求的提高,提出一种基于夹角-距离波峰曲线图提取手掌区域静脉识别方法。对手掌图像二值化处理,计算图像中心点和边界点坐标,得到夹角-距离波峰曲线图;曲线图与掌静脉二值图相互映射计算手部特征点坐标和进行左右手判断;根据上述信息进行手掌区域提取和掌静脉识别。实验结果表明,该方法提取的手掌区域具有很好的方向性和一致性,手掌区域提取成功率为99.07%,掌静脉识别成功率99.75%。With the increasing demand for military information security,a method for extracting palm area in the vein recognition based on the angle-distance wave crest curve chart is proposed.The method includes binarizing the palm image,calculating the coordinates of the center point and the boundary point of the image,and obtaining the angle-distance wave crest curve chart.Then,the angledistance wave crest curve chart and the palm vein binary image are mapped to each other to calculate the coordinates of the hand feature points and to judge the left and right hand.Finally,according to the above information,palm area extraction and palm vein recognition are performed.The experimental results show that the palm area extracted by this method has good orientation and consistency.The success rate of palm area extraction is 99.07%,and the success rate of palm vein recognition is 99.75%.

关 键 词：军事信息安全 波峰曲线图 手掌区域提取 静脉识别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]