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Fingerprint image enhancement and minutiae extraction algorithm
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering. Linnaeus University.
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering. Linnaeus University.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This work aims to study the procedures of fingerprint identification system and to present some efficient algorithms for pre-processing and minutiae extraction. Most pre-processing steps consist of normalization, segmentation and orientation estimation, and background which focus on decreasing the variance of fingerprints, separating fore and background areas and tracking the direction of ridge lines, respectively. Minutiae extractionis typically divided into two approaches: binarization based method and directgray scale extraction. However, we put emphasis on binarization based method in thisresearch since it is more commonly used method in research papers. The results of simulationbased on a set of fingerprints downloaded from FVC 2006 database showed thatalgorithms we used are accurate and reliable.

Place, publisher, year, edition, pages
2017. , p. 43
Keywords [en]
Fingerprints; Minutiae; Algorithm; Simulation; Normalization; Segmentation; Orientation; Extraction; Binarization; Thinning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-64819OAI: oai:DiVA.org:lnu-64819DiVA, id: diva2:1105720
Subject / course
Electrical Engineering
Educational program
Electrical Engineering with specialisation in Signal Processing & Wave Propagation, Master Programme, 120 credits
Supervisors
Examiners
Available from: 2017-06-07 Created: 2017-06-05 Last updated: 2017-06-07Bibliographically approved

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fulltext(1833 kB)889 downloads
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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