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Implementation and Evaluation of NIST Biometric Image Software for Fingerprint Recognition
Blekinge Institute of Technology, School of Engineering.
Blekinge Institute of Technology, School of Engineering.
2010 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
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. The main desire of this thesis is to implement and evaluate National Institute of Science and Technology (NIST) Biometric Image Software (NBIS) for fingerprint recognition using C language MEX-files. NBSI source code is written in ANSI C programming language. A system developed in Matlab environment using C language MEX-files is used for implemented and evaluated the NIST source code. Minutiae extraction and minutiae matching are performed by using a function developed with NBIS. The extracted minutiae are passed through the function with NBIS that match two minutiae patterns and produce a match score. Finally the performance of the system is evaluated on various fingerprint databases and results are presented in Receiver Operating characteristics (ROC) graphs.

Place, publisher, year, edition, pages
2010. , 49 p.
Keyword [en]
Biometric, NIST Fingerprint Verification, MEX-File, ROC graphs.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-2667Local ID: oai:bth.se:arkivex26F5CF5CFB476CF3C12577B8000E46E2OAI: oai:DiVA.org:bth-2667DiVA: diva2:829955
Uppsok
Technology
Supervisors
Available from: 2015-04-22 Created: 2010-10-10 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

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