Eyelid Localization for Iris Identification

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Datum
2008-12Alternativní metriky PlumX
http://hdl.handle.net/11012/57253Metadata
Zobrazit celý záznamAbstrakt
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.
Typ dokumentu
Recenzovaný dokumentZdrojový dokument
Radioengineering. 2008, vol. 17, č. 4, s. 82-85. ISSN 1210-2512http://www.radioeng.cz/fulltexts/2008/08_04b_082_085.pdf
Kolekce
- 2008/4 [33]