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dc.contributor.authorGupta, Rashmi
dc.contributor.authorKhari, Manju
dc.contributor.authorGupta, Deepti
dc.contributor.authorGonzález-Crespo, Rubén (1)
dc.date2020-08
dc.date.accessioned2020-08-10T09:48:35Z
dc.date.available2020-08-10T09:48:35Z
dc.identifier.issn0020-0255
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10382
dc.description.abstractFingerprints are the one of the most important means in the forensics as a means of identification of the criminals owning to the uniqueness and the distinct features in them. Fingerprint identification is considered as an important means for the identification of the people around the globe. Minutiae are the details present in the human fingerprints which are used as a means of identification and verification. Minutiae are the distinctive points which can be used for the effective reconstruction of the fingerprint image. However, there was a limitation that was considered. The minutiae points are completely not enough for reconstruction of the image. Many spurious minutiae are not included and the results for the latent fingerprints are not as accurate as they are for the normal data sets. In this paper, a novel technique has been proposed which considers the minutiae density and the orientation field direction for the reconstruction of the fingerprint. Two public domain databases Fingerprint verification competition 2002 (FVC2002) and fingerprint verification competition 2004 (FVC2004) have been used for the experimental results and to validate the suggested methods for the fingerprint reconstruction and enhancement.es_ES
dc.language.isoenges_ES
dc.publisherInformation Scienceses_ES
dc.relation.ispartofseries;vol. 530
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0020025520300335?via%3Dihubes_ES
dc.rightsrestrictedAccesses_ES
dc.subjectfingerprint identificationes_ES
dc.subjectminutiaees_ES
dc.subjectorientation fieldes_ES
dc.subjectridge frequencyes_ES
dc.subjectfingerprint enhancementes_ES
dc.subjectfingerprint reconstructiones_ES
dc.subjectScopuses_ES
dc.subjectJCRes_ES
dc.titleFingerprint image enhancement and reconstruction using the orientation and phase reconstructiones_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1016/j.ins.2020.01.031


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