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The Implementation of A Fingerprint Enhancement System Based on GPU via CUDA
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In order to reduce the large execution time of an existing fingerprint enhancement system, a parallel implementation method based on GPU via CUDA is proposed. Firstly, the necessity and feasibility of employing parallel programming for the whole system are analyzed. Then pre-processing, global analysis, local analysis and matched filtering of the whole fingerprint enhancement system is designed, optimized and implemented respectively using parallel computing technology via CUDA. Finally, numerous fingerprints from FVC2000 databases are tested and the  obtained execution time is compared with that of the CPU based system. The results show that the execution time is significantly reduced by using the parallel implementation method based on GPU. 

Place, publisher, year, edition, pages
2017. , 58 p.
Keyword [en]
Adaptive Fingerprint Enhancement, CUDA, Parallel Programming, GPU Programming
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-15092OAI: oai:DiVA.org:bth-15092DiVA: diva2:1138238
Subject / course
ET2566 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Signal processing
Educational program
ETASX Master of Science Programme in Electrical Engineering with emphasis on Signal Processing
Presentation
2017-06-12, Karlskrona, 14:30 (English)
Supervisors
Examiners
Available from: 2017-09-04 Created: 2017-09-04 Last updated: 2017-09-04Bibliographically approved

Open Access in DiVA

BTH2017WangF(12330 kB)14 downloads
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Type fulltextMimetype application/pdf

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Department of Applied Signal Processing
Signal Processing

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf