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{{PublicationSetupTemplate|Author=Fernando Alonso-Fernandez, Josef Bigun
|PID=607425
|Name=Alonso-Fernandez, Fernando [feralo] (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]);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=Quality Factors Affecting Iris Segmentation and Matching
|PublicationType=Conference Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=
|JournalISSN=
|Status=
|Volume=
|Issue=
|HostPublication=Proceedings 2013 International Conference on Biometrics
|Conference=ICB-2013, The 6th IAPR International Conference on Biometrics June 4 - 7, 2013, Madrid, Spain
|StartPage=1
|EndPage=6
|Year=2013
|Edition=
|Pages=
|City=Piscataway
|Publisher=IEEE conference proceedings
|Series=
|SeriesISSN=
|ISBN=978-1-4799-0310-8
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|DOI=http://dx.doi.org/10.1109/ICB.2013.6613016
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|NBN=urn:nbn:se:hh:diva-21554
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|Keywords=Accuracy;Databases;Image edge detection;Image segmentation;Iris;Iris recognition;Motion segmentation
|Categories=Signalbehandling (20205)
|ResearchSubjects=
|Projects=
|Notes=<p>IEEE Catalog Number: CFP1392R-ART</p>
|Abstract=<p>Image degradations can affect the different processing steps of iris recognition systems. With several quality factors proposed for iris images, its specific effect in the segmentation accuracy is often obviated, with most of the efforts focused on its impact in the recognition accuracy. Accordingly, we evaluate the impact of 8 quality measures in the performance of iris segmentation. We use a database acquired with a close-up iris sensor and built-in quality checking process. Despite the latter, we report differences in behavior, with some measures clearly predicting the segmentation performance, while others giving inconclusive results. Recognition experiments with two matchers also show that segmentation and matching performance are not necessarily affected by the same factors. The resilience of one matcher to segmentation inaccuracies also suggest that segmentation errors due to low image quality are not necessarily revealed by the matcher, pointing out the importance of separate evaluation of the segmentation accuracy.</p>
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@@ Line 4: / Line 4: @@
 {{PublicationSetupTemplate|Author=Fernando Alonso-Fernandez, Josef Bigun
 |PID=607425
-|Name=Alonso-Fernandez, Fernando [feralo] (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]);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=Alonso-Fernandez, Fernando (feralo) (0000-0002-1400-346X) (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));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=Quality Factors Affecting Iris Segmentation and Matching
 |PublicationType=Conference Paper
@@ Line 14: / Line 14: @@
 |Volume=
 |Issue=
-|HostPublication=Proceedings 2013 International Conference on Biometrics
+|HostPublication=Proceedings – 2013 International Conference on Biometrics, ICB 2013
-|Conference=ICB-2013, The 6th IAPR International Conference on Biometrics June 4 - 7, 2013, Madrid, Spain
+|Conference=ICB-2013, The 6th IAPR International Conference on Biometrics, Madrid, Spain, June 4-7, 2013
-|StartPage=1
+|StartPage=Article number 6613016
-|EndPage=6
+|EndPage=
 |Year=2013
 |Edition=
 |Pages=
-|City=Piscataway
+|City=Piscataway, N.J.
 |Publisher=IEEE conference proceedings
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@@ Line 29: / Line 29: @@
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 |DOI=http://dx.doi.org/10.1109/ICB.2013.6613016
-|ISI=
+|ISI=000334288200065
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@@ Line 40: / Line 40: @@
 |Projects=
 |Notes=<p>IEEE Catalog Number: CFP1392R-ART</p>
-|Abstract=<p>Image degradations can affect the different processing steps of iris recognition systems. With several quality factors proposed for iris images, its specific effect in the segmentation accuracy is often obviated, with most of the efforts focused on its impact in the recognition accuracy. Accordingly, we evaluate the impact of 8 quality measures in the performance of iris segmentation. We use a database acquired with a close-up iris sensor and built-in quality checking process. Despite the latter, we report differences in behavior, with some measures clearly predicting the segmentation performance, while others giving inconclusive results. Recognition experiments with two matchers also show that segmentation and matching performance are not necessarily affected by the same factors. The resilience of one matcher to segmentation inaccuracies also suggest that segmentation errors due to low image quality are not necessarily revealed by the matcher, pointing out the importance of separate evaluation of the segmentation accuracy.</p>
+|Abstract=<p>Image degradations can affect the different processing steps of iris recognition systems. With several quality factors proposed for iris images, its specific effect in the segmentation accuracy is often obviated, with most of the efforts focused on its impact in the recognition accuracy. Accordingly, we evaluate the impact of 8 quality measures in the performance of iris segmentation. We use a database acquired with a close-up iris sensor and built-in quality checking process. Despite the latter, we report differences in behavior, with some measures clearly predicting the segmentation performance, while others giving inconclusive results. Recognition experiments with two matchers also show that segmentation and matching performance are not necessarily affected by the same factors. The resilience of one matcher to segmentation inaccuracies also suggest that segmentation errors due to low image quality are not necessarily revealed by the matcher, pointing out the importance of separate evaluation of the segmentation accuracy. © 2013 IEEE.</p>
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 |CreatedDate=2013-02-22
 |PublicationDate=2013-02-22
-|LastUpdated=2013-10-23
+|LastUpdated=2015-09-29
 |diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:607425}}
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Publications:Quality Factors Affecting Iris Segmentation and Matching - Revision history

Slawek at 20:41, 30 September 2016

SlawekBot: Created page with " == Do not edit this section == {{PublicationSetupTemplate|Author=Fernando Alonso-Fernandez, Josef Bigun |PID=607425 |Name=Alonso-Fernandez, ..."

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== Do not edit this section ==
{{PublicationSetupTemplate|Author=Fernando Alonso-Fernandez, Josef Bigun |PID=607425 |Name=Alonso-Fernandez, ..."