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基于静电成像的新型指纹感测技术。

A Novel Fingerprint Sensing Technology Based on Electrostatic Imaging.

机构信息

State Key Laboratory of Mechatronics Engineering and Control, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Sensors (Basel). 2018 Sep 12;18(9):3050. doi: 10.3390/s18093050.

DOI:10.3390/s18093050
PMID:30213045
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6164703/
Abstract

In this paper, we propose a new fingerprint sensing technology based on electrostatic imaging, which can greatly improve fingerprint sensing distance. This can solve the problem of the existing capacitive fingerprint identification device being easy to damage due to limited detection distance and a protective coating that is too thin. The fingerprint recognition sensor can also be placed under a glass screen to meet the needs of the full screen design of the mobile phone. In this paper, the electric field distribution around the fingerprint is analyzed. The electrostatic imaging sensor design is carried out based on the electrostatic detection principle and MEMS (micro-electro-mechanical system) technology. The MEMS electrostatic imaging array, analog, and digital signal processing circuit structure are designed. Simulation and testing are carried out as well. According to the simulation and prototype test device test results, it is confirmed that our proposed electrostatic imaging-based fingerprint sensing technology can increase fingerprint recognition distance by 46% compared to the existing capacitive fingerprint sensing technology. A distance of more than 439 μm is reached.

摘要

在本文中，我们提出了一种新的基于静电成像的指纹感测技术，它可以大大提高指纹感测距离。这可以解决现有的电容式指纹识别设备由于检测距离有限和保护层过薄而容易损坏的问题。指纹识别传感器也可以放置在玻璃屏幕下方，以满足手机全面屏设计的需求。本文分析了指纹周围的电场分布。根据静电检测原理和 MEMS（微机电系统）技术进行了静电成像传感器设计。设计了 MEMS 静电成像阵列、模拟和数字信号处理电路结构。还进行了仿真和测试。根据仿真和原型测试设备的测试结果，证实了我们提出的基于静电成像的指纹感测技术可以将现有电容式指纹感测技术的指纹识别距离提高 46%，达到 439 μm 以上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/1c788f6bcd1e/sensors-18-03050-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/811b23c9bb69/sensors-18-03050-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/110af1dca091/sensors-18-03050-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/f0f60beee1a7/sensors-18-03050-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/54be97d6e74e/sensors-18-03050-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/881bac5199b3/sensors-18-03050-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/b35cbd3c84a0/sensors-18-03050-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/6fa75c5368b5/sensors-18-03050-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/94c96bf98751/sensors-18-03050-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/1429ab380913/sensors-18-03050-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/1c788f6bcd1e/sensors-18-03050-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/811b23c9bb69/sensors-18-03050-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/110af1dca091/sensors-18-03050-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/f0f60beee1a7/sensors-18-03050-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/54be97d6e74e/sensors-18-03050-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/881bac5199b3/sensors-18-03050-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/b35cbd3c84a0/sensors-18-03050-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/6fa75c5368b5/sensors-18-03050-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/94c96bf98751/sensors-18-03050-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/1429ab380913/sensors-18-03050-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5600/6164703/1c788f6bcd1e/sensors-18-03050-g010.jpg

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本文引用的文献

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Nat Commun. 2018 Jul 3;9(1):2458. doi: 10.1038/s41467-018-04906-1.
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A Method for Enhancing the Sensing Distance of a Fingerprint Sensor.一种增强指纹传感器感应距离的方法。
端到端计算机视觉框架：一个用于研究和教育的开源平台。
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Correction: Tang, K., et al., A Novel Fingerprint Sensing Technology Based on Electrostatic Imaging. Sensors 2018, 18, 3050.更正：唐，K.等人，一种基于静电成像的新型指纹传感技术。《传感器》2018年，第18卷，第3050页。
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