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2015-09-14T19:24:20Z

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{{PublicationSetupTemplate|Author=Carsten Gottschlich, Anna Mikaelyan, Martin Aastrup Olsen, Josef Bigun, Christoph Busch
|PID=853384
|Name=Gottschlich, Carsten (University of Göttingen, Göttingen, Germany);Mikaelyan, Anna [annmik] (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]);Olsen, Martin Aastrup (Norwegian Biometrics Laboratory, Gjøvik University College, Gjøvik, Norway);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]);Busch, Christoph (Norwegian Biometrics Laboratory, Gjøvik University College, Gjøvik, Norway)
|Title=Improving Fingerprint Alteration Detection
|PublicationType=Conference Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=
|JournalISSN=
|Status=
|Volume=
|Issue=
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|Conference=9th International Symposium on Image and Signal Processing and Analysis, Zagreb, Croatia, September 7-9, 2015
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|Year=2015
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|Publisher=IEEE Signal Processing Society
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|NBN=urn:nbn:se:hh:diva-29447
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|Keywords=biometrics;fingerprints
|Categories=Elektroteknik och elektronik (202)
|ResearchSubjects=
|Projects=INGRESS
|Notes=<p>This work is carried out under the funding of the EU-FP7 INGRESS project (Grant No. SEC-2012-312792). C. Gottschlich also acknowledges the support of the Felix-Bernstein-Institute for Mathematical Statistics in the Bio-sciences and the Niedersachsen Vorab of the Volkswagen Foundation.</p>
|Abstract=<p>Fingerprint alteration is a type of presentation attack in which the attacker strives to avoid identification, e.g. at border control or in forensic investigations. As a countermeasure, fingerprint alteration detection aims to automatically discover the occurrence of such attacks by classifying fingerprint images as ’normal’ or ’altered’. In this paper, we propose four new features for improving the performance of fingerprint alteration detection modules. We evaluate the usefulness of these features on a benchmark and compare them to four existing features from the literature.</p>
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 {{PublicationSetupTemplate|Author=Carsten Gottschlich, Anna Mikaelyan, Martin Aastrup Olsen, Josef Bigun, Christoph Busch
 |PID=853384
-|Name=Gottschlich, Carsten (University of Göttingen, Göttingen, Germany);Mikaelyan, Anna [annmik] (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]);Olsen, Martin Aastrup (Norwegian Biometrics Laboratory, Gjøvik University College, Gjøvik, Norway);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]);Busch, Christoph (Norwegian Biometrics Laboratory, Gjøvik University College, Gjøvik, Norway)
+|Name=Gottschlich, Carsten (University of Göttingen, Göttingen, Germany);Mikaelyan, Anna (annmik) (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));Olsen, Martin Aastrup (Norwegian Biometrics Laboratory, Gjøvik University College, Gjøvik, Norway);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));Busch, Christoph (Norwegian Biometrics Laboratory, Gjøvik University College, Gjøvik, Norway)
 |Title=Improving Fingerprint Alteration Detection
 |PublicationType=Conference Paper
@@ Line 14: / Line 14: @@
 |Volume=
 |Issue=
-|HostPublication=
+|HostPublication=2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)
 |Conference=9th International Symposium on Image and Signal Processing and Analysis, Zagreb, Croatia, September 7-9, 2015
-|StartPage=
+|StartPage=83
-|EndPage=
+|EndPage=86
 |Year=2015
 |Edition=
 |Pages=
-|City=
+|City=Zagreb
-|Publisher=IEEE Signal Processing Society
+|Publisher=University of Zagreb
-|Series=
+|Series=International Symposium on Image and Signal Processing and Analysis ; 9
-|SeriesISSN=
+|SeriesISSN=1849-2266
-|ISBN=
+|ISBN=978-1-4673-8032-4;978-1-4673-8031-7
 |Urls=
 |ISRN=
-|DOI=
+|DOI=http://dx.doi.org/10.1109/ISPA.2015.7306037
 |ISI=
 |PMID=
@@ Line 40: / Line 40: @@
 |Projects=INGRESS
 |Notes=<p>This work is carried out under the funding of the EU-FP7 INGRESS project (Grant No. SEC-2012-312792). C. Gottschlich also acknowledges the support of the Felix-Bernstein-Institute for Mathematical Statistics in the Bio-sciences and the Niedersachsen Vorab of the Volkswagen Foundation.</p>
-|Abstract=<p>Fingerprint alteration is a type of presentation attack in which the attacker strives to avoid identification, e.g. at border control or in forensic investigations. As a countermeasure, fingerprint alteration detection aims to automatically discover the occurrence of such attacks by classifying fingerprint images as ’normal’ or ’altered’. In this paper, we propose four new features for improving the performance of fingerprint alteration detection modules. We evaluate the usefulness of these features on a benchmark and compare them to four existing features from the literature.</p>
+|Abstract=<p>Fingerprint alteration is a type of presentation attack in which the attacker strives to avoid identification, e.g. at border control or in forensic investigations. As a countermeasure, fingerprint alteration detection aims to automatically discover the occurrence of such attacks by classifying fingerprint images as ’normal’ or ’altered’. In this paper, we propose four new features for improving the performance of fingerprint alteration detection modules. We evaluate the usefulness of these features on a benchmark and compare them to four existing features from the literature. © Copyright 2015 IEEE - All rights reserved.</p>
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 |CreatedDate=2015-09-13
 |PublicationDate=2015-09-13
-|LastUpdated=2015-09-14
+|LastUpdated=2015-11-03
 |diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:853384}}
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Publications:Improving Fingerprint Alteration Detection - Revision history

Slawek at 20:39, 30 September 2016

Slawek: Created page with " == Do not edit this section == {{PublicationSetupTemplate|Author=Carsten Gottschlich, Anna Mikaelyan, Martin Aastrup Olsen, Josef Bigun, Chr..."

Slawek: Created page with "
== Do not edit this section ==
{{PublicationSetupTemplate|Author=Carsten Gottschlich, Anna Mikaelyan, Martin Aastrup Olsen, Josef Bigun, Chr..."