dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:23:40Z
dc.date.available2014-05-27T11:23:40Z
dc.date.created2014-05-27T11:23:40Z
dc.date.issued2008-09-22
dc.identifierProceedings - 2008 IEEE 11th International Conference on Computational Science and Engineering, CSE 2008, p. 413-420.
dc.identifierhttp://hdl.handle.net/11449/70578
dc.identifier10.1109/CSE.2008.20
dc.identifierWOS:000259139700051
dc.identifier2-s2.0-51849111903
dc.identifier5374159322058248
dc.identifier6027713750942689
dc.identifier0000-0003-0030-8198
dc.description.abstractBiometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. However considering the automatic fingerprint recognition a completely solved problem is a common mistake. The most popular and extensively used methods, the minutiae-based, do not perform well on poor-quality images and when just a small area of overlap between the template and the query images exists. The use of multibiometrics is considered one of the keys to overcome the weakness and improve the accuracy of biometrics systems. This paper presents the fusion of a minutiae-based and a ridge-based fingerprint recognition method at rank, decision and score level. The fusion techniques implemented leaded to a reduction of the Equal Error Rate by 31.78% (from 4.09% to 2.79%) and a decreasing of 6 positions in the rank to reach a Correct Retrieval (from rank 8 to 2) when assessed in the FVC2002-DB1A database. © 2008 IEEE.
dc.languageeng
dc.relationProceedings - 2008 IEEE 11th International Conference on Computational Science and Engineering, CSE 2008
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectError analysis
dc.subjectEvaporative cooling systems
dc.subjectFusion reactions
dc.subjectGait analysis
dc.subjectImage enhancement
dc.subjectNuclear physics
dc.subjectTechnology
dc.subjectComputational science and engineering
dc.subjectEqual Error Rate
dc.subjectFinger print recognition
dc.subjectFingerprint recognition method
dc.subjectFusion techniques
dc.subjectFVC2002
dc.subjectHuman identification
dc.subjectInternational conferences
dc.subjectMultibiometrics
dc.subjectQuery images
dc.subjectBiometrics
dc.titleFusion of fingerprint recognition methods for robust human identification
dc.typeActas de congresos


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