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Eyelash Detection Model for Accurate Iris Segmentation

机译:精确虹膜分割的睫毛检测模型

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In this paper, we present a novel eyelash detection model based on three criterions: 1) separable eyelash condition, 2) non-informative condition and 3) connective criterion. The first condition handles separable eyelash and the second condition manages multiple eyelashes. The last criterion avoids misclassification of strong iris texture as a single and separable eyelash. A number of images are selected to evaluate the accuracy and necessity of the eyelash detection model. The results are encouraging.
机译:在本文中,我们介绍了一种基于三个标准的新型睫毛检测模型:1)可分离的睫毛条件,2)非信息条件和3)连接标准。第一个条件处理可分离的睫毛,第二条件管理多个睫毛。最后一个标准避免了将强烈虹膜纹理的错误分类为单个和可分离的睫毛。选择许多图像以评估睫毛检测模型的准确性和必要性。结果令人鼓舞。

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