Iris localization using gradient magnitude and fourier descriptor

Advanced Computer Science and Information Systems(2014)

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摘要
Best way to localize iris inside an image of an eye is still a huge challenge because a standard regarding iris image does not yet exist. The first step of iris segmentation is iris localization. It is very important step because it will ensure the other step is running well. In this paper, a novel method to localize iris in a robust and simple manner is explained. The method is able to localize iris occluded by eyelids. Experiments on publicly available iris database that made by Malaysia Multimedia University Iris Database (MMU1) [1] showed a satisfying result of the proposed method.
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关键词
fourier analysis,gradient methods,iris recognition,fourier descriptor,mmu1,malaysia multimedia university iris database,gradient magnitude,iris localization,biometrics,discrete fourier transform,horizontal projection,iris segmentation,vertical projection,databases,mathematical model,iris
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