摘要
为了提高手指静脉的识别率,首先需要提高手指静脉图像的质量,影响图像质量的关键因素是手指静脉采集设备,而采集装置的近红外LED光源系统直接决定手指静脉成像的质量;提出一种近红外LED阵列等边三角形排列的光源设计方法,优化三角形阵列的结构参数;实验结果表明:采集的手指静脉图像质量提高,有助于提升手指静脉识别图像的识别率。
In order to improve the recognition rate of finger vein,the quality of the finger vein image needs to be improved first.The key factor affecting the image quality is the finger vein collection equipment,and the near-infrared LED light source system of the collection device directly determines the quality of the finger vein imaging.However,the shape and internal structure of the human fingers are different,and the structural parameters are different.If the design of the device’s near-infrared light source is unreasonable and if the structural parameters of the light source array are incorrect,it is impossible to collect the details and features inside the finger vein,which results in a decrease in the recognition rate of the finger vein.This paper proposes a light source design method for equilateral triangle arrangement of near-infrared LED arrays to optimize the structural parameters of the triangle array.The experimental results show that the improving of the quality of the collected finger vein images can help improve the recognition rate of the finger vein images identifying.
作者
朱超平
ZHU Chao-ping(School of Computer Science and Information Engineering,Chongqing Technology and Business University,Chongqing 400067,China;Chongqing Key Laboratry for Detection and Control of Integrated Systems Engineering,Chongqing 400067,China)
出处
《重庆工商大学学报(自然科学版)》
2020年第5期108-114,共7页
Journal of Chongqing Technology and Business University:Natural Science Edition
基金
教育部科技发展中心产学研创新基金项目资助(2018A02049)
重庆工商大学重点开放项目资助(KFJJ2019106)
重庆市教育科学规划项目资助(2018-GX-348)
重庆市基础研究与前沿探索项目资助(CSTC2018JCYJAX0057)
重庆市教委科技项目青年项目资助(KJQN201800814)
重庆工商大学自然科学基金项目资助(1752006).
关键词
手指静脉
近红外光
结构参数
特征识别
finger vein
near-infrared light
structural parameters
feature recognition