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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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

Received: 26 February 2018 Published: 19 December 2019

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TB96

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	Articles by authors
	ZHU Chao-ping
	QIN Hua-feng
	LIU Qi-neng

Cite this article:

ZHU Chao-ping,QIN Hua-feng,LIU Qi-neng. Characteristic Analysis and Optimization Design of Rectangular Array Light Source for Finger Vein Recognition System[J]. Acta Metrologica Sinica, 2020, 41(1): 16-21.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2020.01.04 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2020/V41/I1/16

［1］Nakamaru Y, Oshina M, Murakami S, et al. Trends in finger vein authentication and deployment in Europe［J］. Hitachi Rev, 2015, 64(5): 275-279.
［2］童建平, 杨建武, 郑文强,等. 阵列光电传感器的非线性校正［J］. 计量学报, 2019, 40(3): 416-420.
Tong J P, Yang J W, Zheng W Q, et al. Nonlinear Correction of Optoelectronic Array Sensor［J］. Acta Metrologica Sinica, 2019, 40(3): 416-420.
［3］Dai Y, Huang B, Li W, et al. A method for capturing the finger-vein image using nonuniform intensity infrared light［C］//2008 Congress on Image and Signal Processing. IEEE, 2008, 4: 501-505.
［4］杨金锋, 贾超云. 嵌入式手指静脉图像采集系统的研制［J］. 中国民航大学学报, 2012. 33(2): 50-51.
Yang J F, Jia C Y. Development of embedded finger vein image acquisition system［J］. Journal of Civil Aviation University of China, 2012. 33(2): 50-51.
［5］梁爱华, 付钪. 近红外指静脉图像采集系统设计［J］. 传感器与微系统, 2014, 33(1): 113-115.
Liang A H, Fu K. Design of near-infrared finger-vein image acquisition system［J］. Transducer and Microsystem Technologies, 2014,33(1): 113-115.
［6］杨数强, 王军强, 周涛. 手指静脉采集控制板的研制［J］. 计算机工程与应用, 2011, 47(27): 80-82.
Yang S Q, Wang J Q, Zhou T. Development of finger vein image sampling & controlling card［J］. Computer Engineering and Applications, 2011, 47(27): 80-82.
［7］苏滕凤, 刘启能. 矩形LED阵列的照度特性研究［J］. 信息系统工程, 2017, 1(1): 142-143.
Shu T F, Liu Q. Study on Illumination Characteristics of Rectangular LED Array［J］. China CIO News, 2017, 1(1): 142-143.
［8］刘沁, 刘启能. 圆形LED阵列的光斑发散特性研究［J］. 激光技术, 2015, 39(6): 858-861.
Liu Q, Liu Q. Divergence characteristics of light spot of a circular LED array［J］. Laser Technology, 2015, 39(6): 858-861.
［9］黄启禄. 基于均匀照明的LED阵列的仿真设计与研究［D］. 厦门:华侨大学, 2011:14-16.
Huang Q L. Simulation Research and Design of LED Array Based on Uniform Illumination［D］. Xiamen: Huaqiao University, 2011:14-16.
［10］陈新睿, 韩敬华, 等. 基于进场均匀照明的LED阵列的优化设计［J］. 应用光学, 2014,35(1): 123-124.
Cheng X R, Han J H, et al. Optimal Design of LED Array Based on Uniform Iillumination in Approach［J］. Journal of Applied Optics, 2014. 35(1): 123-124.
［11］吴飞, 杨广达等, 手指静脉识别传感器的光源设计［J］. 传感器与微系统, 2017, 36(4): 74-75.
Wu F, Yang G D, et al. Light Source Design of Finger Vein Recognition Sensor［J］. Transducer and Microsystem Technologies, 2017, 36(4): 74-75.
［12］尹义龙, 杨公平, 杨璐. 指静脉识别研究综述［J］.数据采集与处理, 2015, 30(5): 933-939.
Yin Y L, Yamg G P, Yamg L. Survey of Finger Vein Recognition Study［J］. Data Acquisition and Processing, 2015, 30(5): 933-939.
［13］余成波, 余玉洁, 方军, 等. 基于FPGA手指静脉图像采集系统的研制［J］. 电子技术应用, 2015, 41(11): 81-84.
Yu C B, Yu Y J, Fang J, et al. Development of Finger Vein Image Acquisition System Based on FPGA［J］. Application of Electronic Technique, 2015, 41(11): 81-84.
［14］Miura N, Nagasaka A, Miyatake T. Feature extraction of finger vein patterns based on repeated line tracking and its application to personal identification［J］. Machine Vision & Applications, 2004, 15(4): 194-203.
［15］陈杨, 李建双, 缪东晶, 等. 基于传感器阵列的野外基线环境参数自动测量系统研制［J］. 计量学报, 2018, 39(04): 455-460.
Chen Yang, Li J S, Miao D J. Development of Outdoor Baseline Environment Parameters Measurement System Based on Sensor Array［J］. Acta Metrologica Sinica, 2018, 39(4): 455-460.