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首页> 外文会议>International conference on graphic and image processing >The Fast Iris Image Clarity Evaluation Based on Tenengrad and ROI Selection
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The Fast Iris Image Clarity Evaluation Based on Tenengrad and ROI Selection

机译：基于Tenengrad和ROI选择的快速虹膜图像清晰度评估

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In iris recognition system, the clarity of iris image is an important factor that influences recognition effect. In the process of recognition, the blurred image may possibly be rejected by the automatic iris recognition system, which will lead to the failure of identification. Therefore it is necessary to evaluate the iris image definition before recognition. Considered the existing evaluation methods on iris image definition, we proposed a fast algorithm to evaluate the definition of iris image in this paper. In our algorithm, firstly ROI (Region of Interest) is extracted based on the reference point which is determined by using the feature of the light spots within the pupil, then Tenengrad operator is used to evaluate the iris image's definition. Experiment results show that, the iris image definition algorithm proposed in this paper could accurately distinguish the iris images of different clarity, and the algorithm has the merit of low computational complexity and more effectiveness.
机译：在虹膜识别系统中，虹膜图像的清晰度是影响识别效果的重要因素。在识别过程中，模糊图像可能会被自动虹膜识别系统拒绝，这将导致识别失败。因此，有必要在识别之前评估虹膜图像的清晰度。考虑到现有的虹膜图像清晰度评估方法，本文提出了一种快速的虹膜图像清晰度评估算法。在我们的算法中，首先基于参考点提取ROI（感兴趣区域），该参考点是通过使用瞳孔内光斑的特征确定的，然后使用Tenengrad算子来评估虹膜图像的清晰度。实验结果表明，本文提出的虹膜图像定义算法能够准确地区分不同清晰度的虹膜图像，具有计算复杂度低，有效性高的优点。

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