Hausdorff Distance for Iris Recognition

N. Sudha, Yung Ho Kenny Wong
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引用次数: 12

Abstract

Iris is a promising biometric due to its high reliability and stability. In this paper, a novel iris recognition technique based on Hausdorff distance is proposed. A modified partial Hausdorff distance (a dissimilarity measure) is computed directly between the normalized iris images for comparison and no feature is extracted explicitly. The Hausdorff distance-based iris recognition system is expected to perform well in the case of severe occlusion by eyelids due to the partialness in the measure. Besides, the modified measure is insensitive to lighting conditions. Experimental results on the CASIA database show that the performance of the proposed recognition system is encouraging and comparable to the iris recognition algorithms found in the current literature.
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虹膜识别的Hausdorff距离
虹膜具有较高的可靠性和稳定性,是一种很有前途的生物识别技术。提出了一种基于豪斯多夫距离的虹膜识别方法。在归一化虹膜图像之间直接计算改进的部分豪斯多夫距离(一种不相似性度量)进行比较,而不显式提取特征。基于Hausdorff距离的虹膜识别系统由于测量的局局性,预计在眼睑严重遮挡的情况下表现良好。此外,改进后的测量方法对光照条件不敏感。在CASIA数据库上的实验结果表明,该识别系统的性能令人鼓舞,并可与现有文献中的虹膜识别算法相媲美。
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