Difference between revisions of "Publications:Iris Segmentation Using the Generalized Structure Tensor"
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| − | |Name=Alonso-Fernandez, Fernando | + | |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), Laboratoriet för intelligenta system (6703));Bigun, Josef (josef) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Laboratoriet för intelligenta system (6703)) |
|Title=Iris Segmentation Using the Generalized Structure Tensor | |Title=Iris Segmentation Using the Generalized Structure Tensor | ||
|PublicationType=Conference Paper | |PublicationType=Conference Paper | ||
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| − | |Conference=SSBA Symposium 2012 (SSBA2012), Stockholm, 8-9 mars, 2012 | + | |Conference=SSBA Symposium 2012 (SSBA2012), Stockholm, Sweden, 8-9 mars, 2012 |
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| − | |Abstract=<p>We present a new iris segmentation algorithm based on the Generalized Structure Tensor (GST). We compare this approach with traditional iris segmentation systems based on Hough transform and integro-differential operators. Results are given using the CASIA-IrisV3-Interval database with respect to a segmentation made manually by a human expert. The proposed algorithm outperforms the baseline approaches, pointing out the validity of the GST | + | |Abstract=<p>We present a new iris segmentation algorithm based on the Generalized Structure Tensor (GST). We compare this approach with traditional iris segmentation systems based on Hough transform and integro-differential operators. Results are given using the CASIA-IrisV3-Interval database with respect to a segmentation made manually by a human expert. The proposed algorithm outperforms the baseline approaches, pointing out the validity of the GST as an alternative to classic iris segmentation systems. We also detect the cross positions between the eyelids and the outer iris boundary. Verification results using a publicly available iris recognition system based on 1D Log-Gabor wavelets are also given, showing the benefits of the eyelids removal step.</p> |
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|CreatedDate=2012-09-05 | |CreatedDate=2012-09-05 | ||
|PublicationDate=2012-09-17 | |PublicationDate=2012-09-17 | ||
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|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:549739}} | |diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:549739}} | ||
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Latest revision as of 21:40, 30 September 2016
| Title | Iris Segmentation Using the Generalized Structure Tensor |
|---|---|
| Author | Fernando Alonso-Fernandez and Josef Bigun |
| Year | 2012 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | |
| Conference | SSBA Symposium 2012 (SSBA2012), Stockholm, Sweden, 8-9 mars, 2012 |
| DOI | |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:549739 |
| Abstract | We present a new iris segmentation algorithm based on the Generalized Structure Tensor (GST). We compare this approach with traditional iris segmentation systems based on Hough transform and integro-differential operators. Results are given using the CASIA-IrisV3-Interval database with respect to a segmentation made manually by a human expert. The proposed algorithm outperforms the baseline approaches, pointing out the validity of the GST as an alternative to classic iris segmentation systems. We also detect the cross positions between the eyelids and the outer iris boundary. Verification results using a publicly available iris recognition system based on 1D Log-Gabor wavelets are also given, showing the benefits of the eyelids removal step. |
