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Segmentation of fingerprint images based on bi-level processing using fuzzy rules
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0001-6526-6537
2012 (English)In: Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American, 2012, 1-6 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a new approach to segment low quality fingerprint images which are collected by low quality fingerprint readers. Images collected using such readers are easy to collect but difficult to segment. The proposed approach is based on combining global and local processing to achieve segmentation of fingerprint images. On the global level, the fingerprint is located and extracted from the rest of the image by using a global thresholding followed by dilation and edge detection of the largest object in the image. On the local level, fingerprint's foreground and its border image are treated using different fuzzy rules which the two images are segmented. These rules are based on the mean and variance of the block under consideration. The approach is implemented in three stages; preprocessing, segmentation, and post-processing. Segmentation of 100 images was performed and compared with manual examinations by human experts. The experiments showed that 96% of images under test are correctly segmented. The results from the quality of segmentation test revealed that the average error in block segmentation was 2.84% and the false positive and false negatives were approximately 1.4%. This indicates the high robustness of the proposed approach.

Place, publisher, year, edition, pages
2012. 1-6 p.
Keyword [en]
fingerprints, segmentation, fuzzy rules
National Category
Signal Processing
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - transports
Identifiers
URN: urn:nbn:se:du-10812DOI: 10.1109/NAFIPS.2012.6291058ISBN: 978-1-4673-2336-9 (print)OAI: oai:DiVA.org:du-10812DiVA: diva2:556543
Conference
2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012; Berkeley, CA; United States; 6 August 2012 through 8 August 2012;
Available from: 2012-09-25 Created: 2012-09-25 Last updated: 2016-02-12Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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