Pereira, Sérgio [UNESP]Marana, Aparecido Nilceu [UNESP]Falguera, Juan Rogelio [UNESP]2014-05-272014-05-272008-09-22Proceedings - 2008 IEEE 11th International Conference on Computational Science and Engineering, CSE 2008, p. 413-420.http://hdl.handle.net/11449/70578Biometrics 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.413-420engError analysisEvaporative cooling systemsFusion reactionsGait analysisImage enhancementNuclear physicsTechnologyComputational science and engineeringEqual Error RateFinger print recognitionFingerprint recognition methodFusion techniquesFVC2002Human identificationInternational conferencesMultibiometricsQuery imagesBiometricsTrabalho apresentado em evento10.1109/CSE.2008.20WOS:000259139700051Acesso aberto2-s2.0-51849111903537415932205824860277137509426890000-0003-0030-8198