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Publications:Iris Pupil Detection by Structure Tensor Analysis
Abstract <p>This paper present a pupil detect<p>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.</p>ly done in 84.24% of the images.</p>
Author Fernando Alonso-Fernandez + , Josef Bigun +
Conference SSBA Symposium 2011 (SSBA2011), 17-18 mars, Linköping, Sweden
Diva http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408372
EndPage 4  +
PublicationType Conference Paper  +
Publisher Halmstad University  +
StartPage 1  +
Title Iris Pupil Detection by Structure Tensor Analysis  +
Year 2011  +
Has queryThis property is a special property in this wiki. Publications:Iris Pupil Detection by Structure Tensor Analysis + , Publications:Iris Pupil Detection by Structure Tensor Analysis + , Publications:Iris Pupil Detection by Structure Tensor Analysis + , Publications:Iris Pupil Detection by Structure Tensor Analysis + , Publications:Iris Pupil Detection by Structure Tensor Analysis + , Publications:Iris Pupil Detection by Structure Tensor Analysis + , Publications:Iris Pupil Detection by Structure Tensor Analysis + , Publications:Iris Pupil Detection by Structure Tensor Analysis + , Publications:Iris Pupil Detection by Structure Tensor Analysis + , Publications:Iris Pupil Detection by Structure Tensor Analysis +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 30 September 2016 20:40:38  +
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