liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Evaluation of biometric security systems against artificial fingers
Linköping University, Department of Electrical Engineering.
2003 (English)Independent thesis Basic level (professional degree)Student thesis
Abstract [en]

Verification of users’ identities are normally carried out via PIN-codes or ID- cards. Biometric identification, identification of unique body features, offers an alternative solution to these methods.

Fingerprint scanning is the most common biometric identification method used today. It uses a simple and quick method of identification and has therefore been favored instead of other biometric identification methods such as retina scan or signature verification.

In this report biometric security systems have been evaluated based on fingerprint scanners. The evaluation method focuses on copies of real fingers, artificial fingers, as intrusion method but it also mentions currently used algorithms for identification and strengths and weaknesses in hardware solutions used.

The artificial fingers used in the evaluation were made of gelatin, as it resembles the surface of human skin in ways of moisture, electric resistance and texture. Artificial fingers were based on ten subjects whose real fingers and artificial counterpart were tested on three different fingerprint scanners. All scanners tested accepted artificial fingers as substitutes for real fingers. Results varied between users and scanners but the artificial fingers were accepted between about one forth and half of the times.

Techniques used in image enhancement, minutiae analysis and pattern matching are analyzed. Normalization, binarization, quality markup and low pass filtering are described within image enhancement. In minutiae analysis connectivity numbers, point identification and skeletonization (thinning algorithms) are analyzed. Within pattern matching, direction field analysis and principal component analysis are described. Finally combinations of both minutiae analysis and pattern matching, hybrid models, are mentioned.

Based on experiments made and analysis of used techniques a recommendation for future use and development of fingerprint scanners is made.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2003. , 70 p.
Series
LiTH-ISY-Ex, 3514
Keyword [en]
Informationsteknik, biometric, artificial fingers, fingerprint scanners, minutiae, pattern matching, intrusion methods, normalization, binarization, direction field analysis, thinning algorithms
Keyword [sv]
Informationsteknik
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-1145OAI: oai:DiVA.org:liu-1145DiVA: diva2:17879
Uppsok
teknik
Available from: 2003-10-21 Created: 2003-10-21

Open Access in DiVA

fulltext(2439 kB)2498 downloads
File information
File name FULLTEXT01.pdfFile size 2439 kBChecksum MD5
960a7c2c9c73736605a7f4f20039bc664bff1049eca2ef51e48228d493ae2908ae3ee3d1
Type fulltextMimetype application/pdf

By organisation
Department of Electrical Engineering
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 2498 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 2494 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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