مشاهده مشخصات مقاله
Robust Pupil Boundary Detection by Optimized Color Mapping for Iris Recognition
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Authors |
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Rasoul Kheirolahy
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Hossein Ebrahimnezhad
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MohammadHossein Sedaaghi
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Conference |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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Abstract |
Accurate pupil segmentation is the first and most
important step for an iris recognition system. Current
methods are based on fitting a model such as circle or
ellipse to find and detect pupil, while these methods
don’t have sufficient accuracy and are sensitive to the
specular spot reflection. In this paper, we utilize an
optimized color mapping to increase the accuracy of
pupil segmentation, regardless of pupil model and its
shape (circular or elliptic), while removing the effects
of specular spot reflection. The optimum color
mapping can be established by an iterative
minimization algorithm similar to Levenberg-
Marquardt (LM) method. By applying this method, a
new image is provided with a clear pupil region that
can be easily segmented. Also a robust preprocessing
step is presented in this paper that sharpens and clears
pupil region. We obtain 98% accuracy in pupil
boundary detection by applying this method on
UBIRIS dataset. Also, the proposed method works well
on any model of eye image even where the eye is not
perpendicular to the camera. |
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قیمت |
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برای اعضای سایت : 100,000 Rial
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برای دانشجویان عضو انجمن : 20,000 Rial
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برای اعضای عادی انجمن : 40,000 Rial
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خرید مقاله
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