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Accurate Iris Segmentation Method for Non-Cooperative Iris Recognition System | Science Publications

机译:非合作式虹膜识别系统的精确虹膜分割方法科学出版物

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> Problem statement: Iris segmentation is one of the most important steps in iris recognition system and determines the accuracy of matching. Most segmentation methods in the literature assumed that the inner and outer boundaries of the iris were circular. Hence, they focus on determining model parameters that best fit these hypotheses. This is a source of error, since the iris boundaries were not exactly circles. Approach: In this study we proposed an accurate iris segmentation method that employs Chan-Vese active contour method to extract the iris from his surrounding structures. Results: The proposed method was implemented and tested on the challenging UBIRIS database the results indicated the efficacy of the proposed method. Conclusion: The experimental results showed that the proposed method localized the iris area probably even when the eyelids occlude same part of iris.
机译: > 问题陈述:虹膜分割是虹膜识别系统中最重要的步骤之一,它决定了匹配的准确性。文献中大多数分割方法都假定虹膜的内部和外部边界是圆形的。因此,他们专注于确定最适合这些假设的模型参数。这是错误的来源,因为虹膜边界并非完全是圆形。 方法:在这项研究中,我们提出了一种精确的虹膜分割方法,该方法采用Chan-Vese主动轮廓法从其周围结构中提取虹膜。 结果:所提出的方法在具有挑战性的UBIRIS数据库上进行了实施和测试,结果表明了所提出方法的有效性。 结论:实验结果表明,即使眼睑遮挡虹膜的相同部位,该方法也可以使虹膜区域局部化。

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