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Title page for etd-0220117-172015


URN etd-0220117-172015 Statistics This thesis had been viewed 43 times. Download 0 times.
Author Ming-kuei Chi
Author's Email Address No Public.
Department Mechanical Engineering
Year 2016 Semester 1
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 56
Title The Simulation and Analysis of Ultrasonic Fingerprint Sensor
Keyword
  • FINGERPRINT SCANNER
  • ULTRASONIC
  • ULTRASONIC
  • FINGERPRINT SCANNER
  • Abstract After proposing fingerprint recognition for unlock technology in iPhone 5s, fingerprint recognition suddenly attracts many attentions. Mobile device or personal computer manufacturers are all looking for fingerprint identification solutions. Ultrasonic fingerprint scanner has higher recognition resolution compared to optical scanner and solid state scanner; therefore this thesis aims to study the optimal operation frequency of ultrasonic fingerprint scanner as well as effects of platen material and layer thickness.
    First of all, the finite element software, COMSOL Multiphysics, was utilized to analyze the optimal operation frequency by calculating the output voltage of fingerprint scanner whether the finger touches the device or not. Results show that there is no relation between the resonance frequency and the optimal operating frequency. The optimal operation frequency may be when the constructive or destructive interference occurs.
    Then the effect of protection layer materials was simulated, such as aluminum, polycarbonate (PC) and glass for finding out the suitable material of protect layer. Results show that using PC as the material of protect layer can have better identification performance because of closer acoustic impedance between PC and finger. Finally, the effect of the acrylic thickness was also simulated. Results show that when the acrylic thickness increases, the fingerprint identification ability degrades because of acoustic attenuation of acrylic.
    Advisor Committee
  • Ching-Chih Tai - advisor
  • Yung-Yu Chen - advisor
  • Jia-Hong Sun - co-chair
  • Files indicate in-campus access at 5 years and off-campus access at 5 years
    Date of Defense 2017-01-25 Date of Submission 2017-02-21


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