View source for Publications:Pre-registration for Improved Latent Fingerprint Identification

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{{PublicationSetupTemplate|Author=Ram P. Krish, Julian Fierrez, Daniel Ramos, Javier Ortega-Garcia, Josef Bigun
|PID=728946
|Name=Krish, Ram P. (Universidad Autonóma de Madrid, Madrid, Spain);Fierrez, Julian (0000-0002-6343-5656) (Universidad Autonóma de Madrid, Madrid, Spain);Ramos, Daniel (0000-0001-5998-1489) (Universidad Autonóma de Madrid, Madrid, Spain);Ortega-Garcia, Javier (0000-0003-0557-1948) (Universidad Autonóma de Madrid, Madrid, Spain);Bigun, Josef (josef) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650))
|Title=Pre-registration for Improved Latent Fingerprint Identification
|PublicationType=Conference Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=
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|HostPublication=2014 22nd International Conference on Pattern Recognition (ICPR)
|Conference=22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014
|StartPage=696
|EndPage=701
|Year=2014
|Edition=
|Pages=
|City=Los Alamitos
|Publisher=IEEE Computer Society
|Series=International Conference on Pattern Recognition
|SeriesISSN=1051-4651
|ISBN=978-1-4799-5208-3
|Urls=
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|DOI=http://dx.doi.org/10.1109/ICPR.2014.130
|ISI=
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|ScopusId=2-s2.0-84919933102
|NBN=urn:nbn:se:hh:diva-25869
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|Categories=Elektroteknik och elektronik (202)
|ResearchSubjects=
|Projects=BBfor2
|Notes=<p>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).</p>
|Abstract=<p>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. © 2014 IEEE.</p>
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|CreatedDate=2014-06-25
|PublicationDate=2014-06-25
|LastUpdated=2015-03-31
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:728946}}
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