井下人员指静脉身份识别方法  

Identification method of underground personnel finger vein

作　　者：张美金[1] 冯泽宇 ZHANG Meijin;FENG Zeyu(Faculty of Electrical and Control Engineering,Liaoning Technology University,Huludao 125105,China)

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105

出　　处：《辽宁工程技术大学学报（自然科学版）》2022年第2期136-141,共6页Journal of Liaoning Technical University (Natural Science)

基　　金：辽宁省教育厅基金项目(LJ2017FAL007)

摘　　要：针对煤矿井下人员身份识别问题,提出一种基于指静脉识别技术的井下人员身份识别方法.该方法通过互补金属氧化物半导体图像传感器完成指静脉图像信息的采集,利用灰度值差异对图像质量进行筛查,并对筛查后的图像进行感兴趣区域(ROI)提取和归一化,使用4向Gabor滤波器增强采集的指静脉图像,以4种特征提取器投票的方法判定增强后的图像,最终基于指静脉细节点集计算Hausdorff距离实现图像匹配识别(MHD),达到人员身份识别的效果.实验对比表明:相较于传统的生物识别技术,所提出的方法能够更好地解决矿井特殊环境下的身份识别问题,提高检测的效率.Aiming at the problem of underground personnel identification in coal mine,an underground personnel identification method based on finger vein recognition technology is proposed.In this method,the digital vein image information is collected by CMOS image sensor,the gray value difference is used to screen the image quality,and the ROI of the screened image is extracted and normalized.The four-way Gabor filter is used to enhance the collected digital vein image,and four feature extractor voting methods are used to determine the enhanced image.Finally,the Hausdorff distance is calculated by MHD algorithm image matching recognition,to achieve the effect of uniqueness detection.Compared with the traditional biometric technology,the method proposed in this paper can solve the safety identification problem in the special environment of the mine better,improve the efficiency of the traditional coal mine in the well detection.

关 键 词：指静脉识别 身份识别 灰度值差异 ROI提取 MHD算法 

分 类 号：TD76[矿业工程—矿井通风与安全] TP391.41[自动化与计算机技术—计算机应用技术]