Difference between revisions of "Publications:Partial Fingerprint Registration for Forensics using Minutiae-generated Orientation Fields"

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{{PublicationSetupTemplate|Author=Ram P. Krish, Julian Fierrez, Daniel Ramos, Javier Ortega-Garcia, Josef Bigun
 
{{PublicationSetupTemplate|Author=Ram P. Krish, Julian Fierrez, Daniel Ramos, Javier Ortega-Garcia, Josef Bigun
 
|PID=728942
 
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|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])
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|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=Partial Fingerprint Registration for Forensics using Minutiae-generated Orientation Fields
 
|Title=Partial Fingerprint Registration for Forensics using Minutiae-generated Orientation Fields
 
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|HostPublication=2nd International Workshop on Biometrics and Forensics (IWBF2014) : Valletta, Malta (27-28th March 2014)
|Conference=2nd International Workshop on Biometrics and Forensics (IWBF 2014), 27-28th March, Valletta, Malta
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|Conference=IWBF 2014 – 2nd International Workshop on Biometrics and Forensics 2014, Valletta, Malta, 27-28th March, 2014
 
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|Projects=BBfor2 (FP7-ITN-238803);Bio-Shield (TEC2012-34881);Contexts (S2009/TIC-1485)
 
|Projects=BBfor2 (FP7-ITN-238803);Bio-Shield (TEC2012-34881);Contexts (S2009/TIC-1485)
 
|Notes=<p>R.K. is supported by Marie Curie Fellowships 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>
 
|Notes=<p>R.K. is supported by Marie Curie Fellowships 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>Minutia based matching scheme is the most widely accepted method for both automated as well as manual (forensic) fingerprint matching. The scenario of comparing a partial fingerprint minutia set against a full fingerprint minutia set is a challenging problem. In this work, we propose a method to register the orientation field of the partial fingerprint minutia set to that of the orientation field of full fingerprint minutia set. As a consequence of registering the partial fingerprint orientation field, we obtain extra information that can augment a minutia based matcher by reducing the search space of minutiae in the full fingerprint. We present the accuracy of our registration algorithm on NIST-SD27 database, reporting separately for both subjective and quantitative quality classification of NIST-SD27. The registration performance accuracy is measured in terms of percentage of ground truth minutiae present in the reduced minutiae search space generated by our algorithm.</p>
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|Abstract=<p>Minutia based matching scheme is the most widely accepted method for both automated as well as manual (forensic) fingerprint matching. The scenario of comparing a partial fingerprint minutia set against a full fingerprint minutia set is a challenging problem. In this work, we propose a method to register the orientation field of the partial fingerprint minutia set to that of the orientation field of full fingerprint minutia set. As a consequence of registering the partial fingerprint orientation field, we obtain extra information that can augment a minutia based matcher by reducing the search space of minutiae in the full fingerprint. We present the accuracy of our registration algorithm on NIST-SD27 database, reporting separately for both subjective and quantitative quality classification of NIST-SD27. The registration performance accuracy is measured in terms of percentage of ground truth minutiae present in the reduced minutiae search space generated by our algorithm. ©2014 IEEE.</p>
 
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|CreatedDate=2014-06-25
 
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Latest revision as of 21:39, 30 September 2016

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Title Partial Fingerprint Registration for Forensics using Minutiae-generated Orientation Fields
Author Ram P. Krish and Julian Fierrez and Daniel Ramos and Javier Ortega-Garcia and Josef Bigun
Year 2014
PublicationType Conference Paper
Journal
HostPublication 2nd International Workshop on Biometrics and Forensics (IWBF2014) : Valletta, Malta (27-28th March 2014)
Conference IWBF 2014 – 2nd International Workshop on Biometrics and Forensics 2014, Valletta, Malta, 27-28th March, 2014
DOI http://dx.doi.org/10.1109/IWBF.2014.6914241
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:728942
Abstract Minutia based matching scheme is the most widely accepted method for both automated as well as manual (forensic) fingerprint matching. The scenario of comparing a partial fingerprint minutia set against a full fingerprint minutia set is a challenging problem. In this work, we propose a method to register the orientation field of the partial fingerprint minutia set to that of the orientation field of full fingerprint minutia set. As a consequence of registering the partial fingerprint orientation field, we obtain extra information that can augment a minutia based matcher by reducing the search space of minutiae in the full fingerprint. We present the accuracy of our registration algorithm on NIST-SD27 database, reporting separately for both subjective and quantitative quality classification of NIST-SD27. The registration performance accuracy is measured in terms of percentage of ground truth minutiae present in the reduced minutiae search space generated by our algorithm. ©2014 IEEE.