基于灰度变化方向的指静脉特征检测算法  

A finger vein feature detection algorithm based on gray scale change direction

作　　者：熊显名[1] 唐绮雯 张文涛[1,2] XIONG Xianming;TANG Qiwen;ZHANG Wentao(Key Laboratory of Optoelectronic Information Processing in Guangxi Colleges and Universities,Guilin 541004,China;Key Laboratory of Optoelectronic Information Processing in Guangxi Colleges and Universities,Guilin 541004,China)

机构地区：[1]桂林电子科技大学电子工程与自动化学院,广西桂林541004 [2]广西高校光电信息处理重点实验室,广西桂林541004

出　　处：《现代电子技术》2019年第3期61-64,共4页Modern Electronics Technique

基　　金：广西壮族自治区自然科学基金(2014GXNSFGA118003);广西壮族自治区自然科学基金(2013GXNSFDA019002);广西教育厅项目(ZD2014057);广西壮族自治区桂林市科学研究与技术开发课题(20130122-2;20140127-1)~~

摘　　要：针对目前指静脉特征纹路提取不准确、特征纹路断裂、噪声过多、提取过程复杂等问题,采用近红外光电透射式静脉获取方式采集指静脉图像。在预处理阶段设计了四点法对图像的静脉区域与背景区域进行快速分离,通过分析静脉灰度特征,设计垂直于静脉纹路走向的四方向特征模板检测算子对手指静脉进行特征提取与实验。应用该算法,能快速准确提取静脉特征纹路,降低特征纹路断裂问题,提取过程简单且算法效率较高,在提取单幅静脉纹路特征速度可达到1.14 ms。The current feature extraction method of figure vein has the problems of inaccurate line extraction,fractured characteristic texture,excessive noise and complicated extraction process.The near-infrared photoelectric transmissive vein acquisition method is used to collect the finger vein image.A four-point method is designed in the preprocessing stage to rapidly separate the vein region of the image from the background area.By analyzing the gray scale feature of the vein,the four-directional feature template detection operator perpendicular to the vein is designed to perform the feature extraction and experiment for the finger vein.The proposed algorithm can extract the feature line of vein quickly,and avoid the fracture problem of feature line,has simple extraction process and high efficiency,and the extraction speed of single vein line feature can reach up to 1.14 ms.

关 键 词：指静脉 特征提取 灰度变化 方向检测 四点法 近红外 生物识别 

分 类 号：TN911.73-34[电子电信—通信与信息系统] TP391.4[电子电信—信息与通信工程]