手指静脉识别系统矩形阵列光源特性分析及优化设计

doi:10.3969/j.issn.1000-1158.2020.01.04

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摘要手指静脉图像质量的高低直接影响手指静脉的识别效率。针对单个近红外LED的光照均匀度相对较差,如何利用多个近红外LED构造一个高质量的光源进行了研究。讨论了矩形阵列光源的结构、空间、形状等参数对静脉图像影响,利用斯派罗法则对各种参数极值找出最优解,再结合手指个体的差异和指型特性,设计照度面为25mm×25mm矩形光源阵列。通过对比实验,利用最优参数设计的阵列光源,能够采集到高质量的手指静脉图像,为手指静脉采集设备光源设计提供参考,同时为后续的手指静脉图像的识别打下基础。

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	朱超平
	秦华锋
	刘启能

关键词 ：计量学;手指静脉;识别系统;矩形阵列光源;近红外LED, 斯派罗法则

Abstract：The quality of vein images collected by finger vein recognition system directly affects the recognition efficiency of finger veins,the design of light source of the system influences the quality of finger veins.Aimed at the illumination uniformity of single near-infrared LED is relatively poor, how to design a high-quality light source by taking advantage of the structure, space, shape and other parameters of multiple near-infrared LED is worth studying.By using sparrow's law to find the optimal solution to the extremum of various parameters, and combining the individual differences of fingers and finger shape characteristics, the illumination surface is designed as a 25mm×25mm rectangular light source array, through comparison experiments, the array light source designed with the optimal parameters can collect high-quality finger vein images.By analyzing the light source parameters of rectangular array, a reference for the development of finger vein acquisition equipment is provided and a foundation for the subsequent finger vein image recognition is laid.

Key words： metrology finger vein recognition system rectangular array light source near-infrared LED sparrow law

收稿日期: 2018-02-26 发布日期: 2019-12-19

PACS:

TB96

基金资助:国家自然科学基金(61502063);重庆工商大学自然科学基金(1751043)

通讯作者: 秦华锋(1983-),男,重庆忠县人,重庆工商大学副教授,博士,研究方向为生物特征识别、计算机视觉、深度学习等。 Email:qinhuafengfeng@163.com E-mail: jsjzcp@ctbu.edu.cn

作者简介: 朱超平(1977-),男,四川邻水人,重庆工商大学讲师,硕士,研究方向为物联网技术及智能计算等。 Email:jsjzcp@163.com

引用本文:

朱超平,秦华锋,刘启能. 手指静脉识别系统矩形阵列光源特性分析及优化设计[J]. 计量学报, 2020, 41(1): 16-21.
ZHU Chao-ping,QIN Hua-feng,LIU Qi-neng. Characteristic Analysis and Optimization Design of Rectangular Array Light Source for Finger Vein Recognition System. Acta Metrologica Sinica, 2020, 41(1): 16-21.

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