Minutiae filtering using ridge-valley method

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dc.contributor.authorMarco Antonio Ameller
dc.contributor.authorMaría Angélica González
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:19:41Z
dc.date.available2026-03-22T15:19:41Z
dc.date.issued2016
dc.descriptionCitaciones: 2
dc.description.abstractIn order to identify subjects in a convenient and efficient way one must use some special feature that makes it possible to discriminate between persons. Some of the features are biometric in nature, such as iris texture, hand shape, the human face, and of course finger prints. These play an important role in many automatic identification systems, since every person is believed to have a unique set of fingerprints. Before a fingerprint image can be looked up in a database, it has to be classified into one of 5 types in order to reduce processing times.
dc.identifier.doi10.14201/adcaij201651110
dc.identifier.urihttps://doi.org/10.14201/adcaij201651110
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/51724
dc.language.isoen
dc.publisherEdiciones Universidad de Salamanca
dc.relation.ispartofADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL
dc.sourceTomás Frías Autonomous University
dc.subjectMinutiae
dc.subjectBiometrics
dc.subjectArtificial intelligence
dc.subjectComputer science
dc.subjectComputer vision
dc.subjectFingerprint (computing)
dc.subjectFace (sociological concept)
dc.subjectFeature (linguistics)
dc.subjectPattern recognition (psychology)
dc.subjectSet (abstract data type)
dc.titleMinutiae filtering using ridge-valley method
dc.typearticle

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