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Implementation and evaluation of NIST biometric image software for fingerprint recognition
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
Responsible organisation
2010 (English)Conference paper, (Refereed)
Abstract [en]

Fingerprints are rich in details which are in the form of discontinuities in ridges known as minutiae and are unique for each person. This paper describes implementation and evaluation of an existing fingerprint recognition system in MATLAB environment. The selected system is developed by National Institute of Standards and Technology (NIST) denoted as Biometric Image Software (NBIS). The NBIS source code is written in ANSI C programming language. To be able to evaluate the algorithm in MATLAB a C language MEX-files has been used. The NBIS support both minutiae extraction and minutiae matching functions that have been employed in the evaluation. The implemented system has been tested on a Fingerprint Verification Competition (FVC) database. The results are presented as Receiver Operating Characteristics (ROC) graphs

Place, publisher, year, edition, pages
Chennai: IEEE , 2010.
Keyword [en]
Biometric, MEX-file, NIST fingerprint verification, ROC graphs
National Category
Signal Processing Computer Science
Identifiers
URN: urn:nbn:se:bth-7504DOI: 10.1109/ICSIP.2010.5697470Local ID: oai:bth.se:forskinfo8EA84BCE45A2CE9EC12578BE002B7015ISBN: 978-142448594-9 (print)OAI: oai:DiVA.org:bth-7504DiVA: diva2:835128
Conference
3rd IEEE International Conference on Signal and Image Processing, ICSIP
Available from: 2012-09-18 Created: 2011-06-29 Last updated: 2016-09-09Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • fi-FI
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Output format
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  • asciidoc
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