Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15364
Title: Accurate iris segmentation based on novel reflection and eyelash detection model
Authors: Kong, WK
Zhang, D 
Issue Date: 2001
Source: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001, 2001, p. 263-266 How to cite?
Abstract: In this paper, we propose a novel noise detection model for accurate segmentation of an iris. Eyelash, eyelid and reflection are three main noises. Eyelid had been solved by traditional eye model; however, eyelash and reflection do not been regarded. To determinate a pixel in an eyelash, our model follows the three criterions: 1) separable eyelash condition, 2) non-informative condition and 3) connective criterion. The first and second condition handle separable and multiple eyelashes respectively. The last criterion avoids misclassification of strong iris texture as a single and separable eyelash. For reflection, strong reflection points are detected by a threshold and the weak reflection points around the strong points are determined by connective criterion and statistical test. A number of images are selected to evaluate the accuracy and necessity of our noise detection model and the results are encouraging.
Description: 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001, Hong Kong, 2-4 May 2001
URI: http://hdl.handle.net/10397/15364
ISBN: 9628576623
9789628576623
DOI: 10.1109/ISIMP.2001.925384
Appears in Collections:Conference Paper

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