Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9533
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dc.contributor.authorGarg, Shivani-
dc.contributor.authorSingh, Amit Kumar [Guided by]-
dc.date.accessioned2023-05-01T06:50:38Z-
dc.date.available2023-05-01T06:50:38Z-
dc.date.issued2014-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9533-
dc.description.abstractHuman fingerprints are rich in details called minutiae, which can be used as identification marks for fingerprint verification. The goal of this project is to develop a complete system for fingerprint verification through extracting and matching minutiae. To achieve good minutiae extraction in fingerprints with varying quality, preprocessing in form of image enhancement and binarization is first applied on fingerprints before they are evaluated. Many methods have been combined to build a minutia extractor and a minutia matcher. Minutiamarking with false minutiae removal methods are used in the work. An alignment-based elastic matching algorithm has been developed for minutia matching. This algorithm is capable of finding the correspondences between input minutia pattern and the stored template minutia pattern without resorting to exhaustive search. Performance of the developed system is then evaluated on an online fingerprint database.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectBiometricen_US
dc.subjectFingerprint verificationen_US
dc.subjectHuman fingerprintsen_US
dc.titleBiometric Verification System Using Fingerprint Image at Level 2en_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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