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dc.creatorWilson, Sherri M
dc.date.available2011-02-18T21:20:28Z
dc.date.issued2004-08
dc.identifier.urihttp://hdl.handle.net/2346/15978en_US
dc.description.abstractAs an alternative to current minutiae-based fingerprint matching techniques, a "circular" matching method is introduced. This method involves choosing the "best" center of the fingerprint, radiating circles outward from the center, and then recording the number of ridge crossings for each radius. From the vector of radii values and ridge crossing counts, a profile function is created. The profile functions of different fingerprints are compared using the absolute integrated difference. Box-Jenkins (ARIMA) time series models, and time series spectral analysis.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.subjectFingerprints -- Identificationen_US
dc.subjectTime-series analysis -- Mathematical modelsen_US
dc.subjectFingerprints -- Data processing -- Mathematical modelsen_US
dc.titleFingerprint matching using friction ridge counts
dc.typeThesis
thesis.degree.nameM.S.
thesis.degree.levelMasters
thesis.degree.disciplineStatistics
thesis.degree.grantorTexas Tech University
thesis.degree.departmentStatistics
thesis.degree.departmentMathematics and Statistics
dc.degree.departmentStatisticsen_US
dc.rights.availabilityUnrestricted.


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