瞳孔分割不准确的识别方法

First International Conference on Availability, Reliability and Security (ARES'06) Pub Date : 2006-04-20 DOI:10.1109/ARES.2006.9

Hugo Proença, Luís A. Alexandre

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引用次数: 18

摘要

本文分析了典型虹膜识别系统中分割算法的准确率与错误率之间的关系。我们从UBIRIS数据库中选择了1000张分割算法可以准确分割的图像，并人为引入了分割不准确性。我们重复了识别测试，得出了瞳孔分割错误与整体误拒率之间的密切关系。基于这一事实，我们提出了一种识别这些不准确的方法。

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A method for the identification of inaccuracies in pupil segmentation

In this paper we analyze the relationship between the accuracy of the segmentation algorithm and the error rates of typical iris recognition systems. We selected 1000 images from the UBIRIS database that the segmentation algorithm can accurately segment and artificially introduced segmentation inaccuracies. We repeated the recognition tests and concluded about the strong relationship between the errors in the pupil segmentation and the overall false reject rate. Based on this fact, we propose a method to identify these inaccuracies.

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First International Conference on Availability, Reliability and Security (ARES'06)

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