Enhancement Techniques for Fingerprint Matching Using Filtering Techniques and Back Propagation Algorithm

dc.contributor.guideMurugan A.
dc.coverage.spatialComputer Science
dc.creator.researcherArul Leena Rose P.J.
dc.date.accessioned2017-10-13T10:27:55Z
dc.date.available2017-10-13T10:27:55Z
dc.date.awarded01.04.2017
dc.date.completed14.09.2016
dc.date.registered21.02.2007
dc.description.abstractRecognition of humans by means of biometric characteristics is an emerging sensation in our society. It has received more and more consideration during the last years due to the need for security in a large range of applications. Among the numerous biometric features, the fingerprint is considered one of the most functional ones. Fingerprint recognition requires a minimal effort from the user, does not capture other information than strictly necessary for the recognition process, and provides relatively noble performance. Another reason for the popularity of fingerprints is the relatively low price of fingerprint sensors, which enables easy integration into PC keyboards, smart cards and wireless hardware. newline
dc.description.noteBibliography p.200-214, Appendix 215-217
dc.format.accompanyingmaterialCD
dc.format.dimensionsA4
dc.format.extentx, 217p.
dc.identifier.urihttp://hdl.handle.net/10603/175557
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science
dc.publisher.placeKodaikanal
dc.publisher.universityMother Teresa Womens University
dc.relation120 Nos.
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordGabor filter, Anisotropic filter, Median filter, Contrast enhancement, Histogram enhancement, negative enhancement
dc.titleEnhancement Techniques for Fingerprint Matching Using Filtering Techniques and Back Propagation Algorithm
dc.title.alternative
dc.type.degreePh.D.

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