Difference between revisions of "Publications:Iris Pupil Detection by Structure Tensor Analysis"
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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));Bigun, Josef (josef) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938)) |
|Title=Iris Pupil Detection by Structure Tensor Analysis | |Title=Iris Pupil Detection by Structure Tensor Analysis | ||
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|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408372}} | |diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408372}} | ||
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Latest revision as of 21:40, 30 September 2016
| Title | Iris Pupil Detection by Structure Tensor Analysis |
|---|---|
| Author | Fernando Alonso-Fernandez and Josef Bigun |
| Year | 2011 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | |
| Conference | SSBA Symposium 2011 (SSBA2011), 17-18 mars, Linköping, Sweden |
| DOI | |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408372 |
| Abstract | This paper present a pupil detection/segmentation algorithm for iris images based on Structure Tensor analysis. Eigenvalues of the structure tensor matrix have been observed to be high in pupil boundaries and specular reflections of iris images. We exploit this fact to detect the specular reflections region and the boundary of the pupil in a sequential manner. Experimental results are given using the CASIA-IrisV3-Interval database (249 contributors, 396 different eyes, 2,639 iris images). Results show that our algorithm works specially well in detecting the specular reflections (98.98% success rate) and pupil boundary detection is correctly done in 84.24% of the images. |
