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dc.contributor.authorDoroz, Rafał-
dc.date.accessioned2018-12-06T13:18:19Z-
dc.date.available2018-12-06T13:18:19Z-
dc.date.issued2018-
dc.identifier.citationSymmetry, Vol. 10 (2018), Art. No. 624pl_PL
dc.identifier.issn2073-8994-
dc.identifier.urihttp://hdl.handle.net/20.500.12128/7356-
dc.description.abstractThe paper proposes a method of automatic knuckle image acquisition for continuous verification systems. The developed acquisition method is dedicated for verification systems in which the person being verified uses a computer keyboard. This manner of acquisition enables registration of the knuckle image without interrupting the user’s work for the time of acquisition. This is an important advantage, unprecedented in the currently known methods. The process of the automatic location of the finger knuckle can be considered as a pattern recognition approach and is based on the analysis of symmetry and similarity between the reference knuckle patterns and live camera image. The effectiveness of the aforesaid approach has been tested experimentally. The test results confirmed its high effectiveness. The effectiveness of the proposed method was also determined in a case where it is a part of a multi-biometric method.pl_PL
dc.language.isoenpl_PL
dc.rightsUznanie autorstwa 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/pl/*
dc.subjectbiometricspl_PL
dc.subjectfinger knuckle recognitionpl_PL
dc.subjecttemplate matchingpl_PL
dc.titleThe Method of Automatic Knuckle Image Acquisition for Continuous Verification Systemspl_PL
dc.typeinfo:eu-repo/semantics/articlepl_PL
dc.relation.journalSymmetrypl_PL
dc.identifier.doi10.3390/sym10110624-
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Uznanie Autorstwa 3.0 Polska Creative Commons Creative Commons