Eyelid Localization for Iris Identification
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Date
2008-12
Authors
Adam, Mathieu
Rossant, Florence
Amiel, Frederic
Mikovikova, Beata
Ea, Thomas
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
This article presents a new eyelid localization algorithm based on a parabolic curve fitting. To deal with eyelashes, low contrast or false detection due to iris texture, we propose a two steps algorithm. First, possible edge candidates are selected by applying edge detection on a restricted area inside the iris. Then, a gradient maximization is applied along every parabola, on a larger area, to refine parameters and select the best one. Experiments have been conducted on a database of 151 iris that have been manually segmented. The performance evaluation is carried out by comparing the segmented images obtained by the proposed method with the manual segmentation. The results are satisfactory in more than 90% of the cases.
Description
Citation
Radioengineering. 2008, vol. 17, č. 4, s. 82-85. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2008/08_04b_082_085.pdf
http://www.radioeng.cz/fulltexts/2008/08_04b_082_085.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en