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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 Autonoma de Madrid, Madrid, Spain);Fierrez, Julian (Universidad Autonoma de Madrid, Madrid, Spain);Ramos, Daniel (Universidad Autonoma de Madrid, Madrid, Spain);Ortega-Garcia, Javier (Universidad Autonoma de Madrid, Madrid, Spain);Bigun, Josef [josef] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], 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=
|JournalISSN=
|Status=
|Volume=
|Issue=
|HostPublication=Proceedings of International Conference on Pattern Recognition–ICPR2014
|Conference=22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014
|StartPage=
|EndPage=
|Year=2014
|Edition=
|Pages=
|City=Los Alamitos
|Publisher=IEEE Computer Society
|Series=
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|NBN=urn:nbn:se:hh:diva-25869
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|Keywords=
|Categories=Elektroteknik och elektronik (202)
|ResearchSubjects=
|Projects=
|Notes=
|Abstract=<p>Comparing a latent fingerprint minutiae set against a tenprint 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 tenprint with respect to that of query latent minutiae set by registering the orientation field of latent fingerprint with the tenprint orientation field. By reducing the search space of minutiae from the tenprint, 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.</p>
|Opponents=
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|CreatedDate=2014-06-25
|PublicationDate=2014-06-25
|LastUpdated=2014-08-18
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:728946}}
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@@ Line 4: / Line 4: @@
 {{PublicationSetupTemplate|Author=Ram P. Krish, Julian Fierrez, Daniel Ramos, Javier Ortega-Garcia, Josef Bigun
 |PID=728946
-|Name=Krish, Ram P. (Universidad Autonoma de Madrid, Madrid, Spain);Fierrez, Julian (Universidad Autonoma de Madrid, Madrid, Spain);Ramos, Daniel (Universidad Autonoma de Madrid, Madrid, Spain);Ortega-Garcia, Javier (Universidad Autonoma de Madrid, Madrid, Spain);Bigun, Josef [josef] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], CAISR Centrum för tillämpade intelligenta system (IS-lab) [13650])
+|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
@@ Line 14: / Line 14: @@
 |Volume=
 |Issue=
-|HostPublication=Proceedings of International Conference on Pattern Recognition–ICPR2014
+|HostPublication=2014 22nd International Conference on Pattern Recognition (ICPR)
 |Conference=22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014
-|StartPage=
+|StartPage=696
-|EndPage=
+|EndPage=701
 |Year=2014
 |Edition=
@@ Line 23: / Line 23: @@
 |City=Los Alamitos
 |Publisher=IEEE Computer Society
-|Series=
+|Series=International Conference on Pattern Recognition
-|SeriesISSN=
+|SeriesISSN=1051-4651
-|ISBN=
+|ISBN=978-1-4799-5208-3
 |Urls=
 |ISRN=
-|DOI=
+|DOI=http://dx.doi.org/10.1109/ICPR.2014.130
 |ISI=
 |PMID=
-|ScopusId=
+|ScopusId=2-s2.0-84919933102
 |NBN=urn:nbn:se:hh:diva-25869
 |LocalId=
@@ Line 38: / Line 38: @@
 |Categories=Elektroteknik och elektronik (202)
 |ResearchSubjects=
-|Projects=
+|Projects=BBfor2
-|Notes=
+|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 tenprint 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 tenprint with respect to that of query latent minutiae set by registering the orientation field of latent fingerprint with the tenprint orientation field. By reducing the search space of minutiae from the tenprint, 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.</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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 |Supervisors=
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 |CreatedDate=2014-06-25
 |PublicationDate=2014-06-25
-|LastUpdated=2014-08-18
+|LastUpdated=2015-03-31
 |diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:728946}}
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Publications:Pre-registration for Improved Latent Fingerprint Identification - Revision history

Slawek at 20:40, 30 September 2016

Slawek: Created page with " == Do not edit this section == {{PublicationSetupTemplate|Author=Ram P. Krish, Julian Fierrez, Daniel Ramos, Javier Ortega-Garcia, Josef Big..."

Slawek: Created page with "
== Do not edit this section ==
{{PublicationSetupTemplate|Author=Ram P. Krish, Julian Fierrez, Daniel Ramos, Javier Ortega-Garcia, Josef Big..."