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Enhancement pupil isolation method in iris recognition

机译:虹膜识别中的增强瞳孔隔离方法

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Iris recognition system is until now impractical to implement in real time environment due to the unfeasible processing time. Therefore, solutions are required to enhance the performance of an iris recognition system. Since pupil segmentation is one of the important tasks in iris localization procedure, in this paper, a technique to isolate the pupil boundary is discussed. We have proposed a new thresholding method based on the eye color map. This proposed method is experimentally applied to the CASIA database iris images and 100% accuracy is attained. Furthermore, the proposed method may be utilized in the real time iris recognition scenario due to the superb processing time of pupil boundary segmentation without any pre-filters.
机译:由于不可行的处理时间,虹膜识别系统至今仍无法在实时环境中实现。因此,需要解决方案来增强虹膜识别系统的性能。由于瞳孔分割是虹膜定位过程中的重要任务之一,因此,本文讨论了一种隔离瞳孔边界的技术。我们提出了一种基于眼睛颜色图的新阈值方法。将该方法实验性地应用于CASIA数据库虹膜图像,并获得100%的准确性。此外,由于无需任何预过滤器的光瞳边界分割的极好的处理时间,所提出的方法可用于实时虹膜识别场景中。

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