Minutiae Triplet-based Features with Extended Ridge Information for Determining Sufficiency in Fingerprints

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dc.contributor.authorHoyle, Kevinen
dc.contributor.committeechairHsiao, Michael S.en
dc.contributor.committeememberFox, Edward A.en
dc.contributor.committeememberAbbott, A. Lynnen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:41:27Zen
dc.date.adate2011-07-21en
dc.date.available2014-03-14T20:41:27Zen
dc.date.issued2011-07-06en
dc.date.rdate2011-07-21en
dc.date.sdate2011-07-14en
dc.description.abstractIn order to deliver statistical and qualitative backing to latent fingerprint evidence, algorithms are proposed (1) to perform fingerprint matching to aid in quality assessment, and (2) to discover statistically rare features or patterns in fingerprints. These features would help establish an objective minimum-quality baseline for latent prints as well as aid in the latent examination process in making a matching comparison. The proposed methodologies use minutiae triplet-based features in a hierarchical fashion, where not only minutia points are used, but ridge information is used to help establish relations between minutiae. Results show (1) that our triplet-based descriptor is useful in eliminating false matches in the matching algorithm, and (2) that a set of distinctive features can be found that have sufficient discriminatory power to aid in quality assessment.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-07142011-112818en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07142011-112818/en
dc.identifier.urihttp://hdl.handle.net/10919/34010en
dc.publisherVirginia Techen
dc.relation.haspartHoyle_KE_T_2011.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectminutiaen
dc.subjectsufficiencyen
dc.subjectlatenten
dc.subjectqualityen
dc.subjectfingerprintsen
dc.subjectfriction ridgesen
dc.subjecttrianglesen
dc.subjecttripletsen
dc.titleMinutiae Triplet-based Features with Extended Ridge Information for Determining Sufficiency in Fingerprintsen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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