Wavelet-based fingerprint image retrieval

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dc.contributor.authorMontoya Zegarra, Javier
dc.contributor.authorLeite, Neucimar
dc.contributor.authorda Silva Torres, Ricardo
dc.date.accessioned2019-01-29T22:19:56Z
dc.date.available2019-01-29T22:19:56Z
dc.date.issued2009
dc.description.abstractThis paper presents a novel approach for personal identification based on a wavelet-based fingerprint retrieval system which encompasses three image retrieval tasks, namely, feature extraction, similarity measurement, and feature indexing. We propose the use of different types of Wavelets for representing and describing the textural information presented in fingerprint images in a compact way. For that purpose, the feature vectors used to characterize the fingerprints are obtained by computing the mean and the standard deviation of the decomposed images in the wavelet domain. These feature vectors are used both to retrieve the most similar fingerprints, given a query image, and their indexation is used to reduce the search spaces of candidate images. The different types of Wavelets used in our study include: Gabor wavelets, tree-structured wavelet decomposition using both orthogonal and bi-orthogonal filter banks, as well as the steerable wavelets. To evaluate the retrieval accuracy of the proposed approach, a total number of eight different data sets were considered. We also took into account different combinations of the above wavelets with six similarity measures. The results show that the Gabor wavelets combined with the Square Chord similarity measure achieves the best retrieval effectiveness. © 2008 Elsevier B.V. All rights reserved.es_PE
dc.description.uriTrabajo académicoes_PE
dc.identifier.doihttps://doi.org/10.1016/j.cam.2008.03.017es_PE
dc.identifier.issn3770427es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15902
dc.language.isoenges_PE
dc.publisherScopuses_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-62549121667&doi=10.1016%2fj.cam.2008.03.017&partnerID=40&md5=3185960c57a1191db5d5b1946bfe1a15es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectContent based retrievales_PE
dc.subjectFilter bankses_PE
dc.subjectInformation retrievales_PE
dc.subjectTextureses_PE
dc.subjectWavelet decompositiones_PE
dc.subjectContent-based image retrievales_PE
dc.subjectData setses_PE
dc.subjectFeature vectorses_PE
dc.subjectFingerprint imageses_PE
dc.subjectFingerprintses_PE
dc.subjectGabor waveletses_PE
dc.subjectOrthogonal filter bankses_PE
dc.subjectPersonal identificationses_PE
dc.subjectQuery imageses_PE
dc.subjectRetrieval accuracieses_PE
dc.subjectRetrieval effectivenesses_PE
dc.subjectRetrieval systemses_PE
dc.subjectSearch spaceses_PE
dc.subjectSimilarity measurementses_PE
dc.subjectSimilarity measureses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleWavelet-based fingerprint image retrievales_PE
dc.typeinfo:eu-repo/semantics/article
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