Pre-registration for improved latent fingerprint identification

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dc.contributor.author Krishnamoorthy, Ram Prasad
dc.contributor.author Fiérrez, Julián
dc.contributor.author Ramos, Daniel
dc.contributor.author Ortega-García, Javier
dc.contributor.author Bigün, Josef
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2015-03-17T18:10:33Z
dc.date.available 2015-03-17T18:10:33Z
dc.date.issued 2014
dc.identifier.citation 2014 22nd International Conference on Pattern Recognition, ICPR. IEEE, 2014. 696 – 701 en_US
dc.identifier.issn 1051-4651
dc.identifier.uri http://hdl.handle.net/10486/664625
dc.description Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. R. P. Krish, J. Fiérrez, D. Ramos, J. Ortega-Garcia, J. Bigün, "Pre-registration for Improved Latent Fingerprint Identification" in 22nd International Conference on Pattern Recognition (ICPR), Stockholm (Sweden), 2014, 696 - 701 en_US
dc.description.abstract Comparing a latent fingerprint minutiae set against a ten print fingerprint minutiae set using an automated fingerprint identification system is a challenging problem. This is mainly because latent fingerprints obtained from crime scenes are mostly partial fingerprints, and most automated systems expect approximately the same number of minutiae between query and the reference fingerprint under comparison for good performance. In this work, we propose a methodology to reduce the minutiae set of ten print with respect to that of query latent minutiae set by registering the orientation field of latent fingerprint with the ten print orientation field. By reducing the search space of minutiae from the ten print, we can improve the performance of automated identification systems for latent fingerprints. We report the performance of our registration algorithm on the NIST-SD27 database as well as the improvement in the Rank Identification accuracy of a standard minutiae-based automated system. en_US
dc.description.sponsorship R.K. was supported by a Marie Curie Fellowship under project BBfor2 (FP7-ITN-238803). This work has also been partially supported by Spanish Guardia Civil, Cátedra UAM-Telefónica, and projects Bio-Shield (TEC2012-34881) and Contexts (S2009/TIC-1485). en_US
dc.format.extent 7 pág. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher IEEE en_US
dc.relation.ispartof Proceedings - International Conference on Pattern Recognition en_US
dc.rights © 2014 IEEE en_US
dc.subject.other Fingerprint identification en_US
dc.subject.other Image registration en_US
dc.subject.other Query processing en_US
dc.subject.other Visual databases en_US
dc.title Pre-registration for improved latent fingerprint identification en_US
dc.type conferenceObject en
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/ICPR.2014.130
dc.identifier.doi 10.1109/ICPR.2014.130
dc.identifier.publicationfirstpage 696
dc.identifier.publicationlastpage 701
dc.relation.eventdate August 24-28, 2014 en_US
dc.relation.eventnumber 22
dc.relation.eventplace Stockholm (Sweden) en_US
dc.relation.eventtitle 22nd International Conference on Pattern Recognition, ICPR 2014 en_US
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485/CONTEXTS es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/238803 en
dc.type.version info:eu-repo/semantics/acceptedVersion en
dc.contributor.group Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002) es_ES
dc.rights.accessRights openAccess en
dc.authorUAM Fierrez Aguilar, Julián (261834)


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