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.

Highlights

  • In recent years, with the continuous upgrading of smartphones and the increasing demand for online and mobile payments, biometric-based personal identification technology has the advantages of convenience and security [1,2]

  • Sensor is covered with a glass cover of different microscopes to realize different detection distance chip has a charge coupling andfingerprint amplification function, so the electrostatic imaging principle was adjustments and so the actual is detected

  • We propose a new electrostatic imaging-based fingerprint sensing technology based on the principle of electric field detection, which has a farther detection distance than the existing capacitive fingerprint sensing technology

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Summary

Introduction

With the continuous upgrading of smartphones and the increasing demand for online and mobile payments, biometric-based personal identification technology has the advantages of convenience and security [1,2]. There are various ways to obtain fingerprints, including optical, temperature, pressure, acoustic, and capacitive methods. The optical fingerprint sensor captures a fingerprint image through the lens and can penetrate thicker glass. Synopsys’ optical fingerprint sensor can be placed at the bottom of the screen, independent of the thickness of the glass, but at a higher cost and with limited security, it can be deceived by fingerprint images [3]. Ultrasonic fingerprint sensors use the principle of medical ultrasound to create a visual image of the fingerprint with deep penetration [5,6]. Qualcomm’s ultrasonic fingerprint sensor can be placed at the bottom of the screen, with a penetration capability of 700–800 μm, but at a higher cost, it is currently only available on the latest flagship phones [5]

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