一种改进的低鉴别区指纹匹配算法

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI:10.1145/3287921.3287986

Nghia Duong, Minh Nguyen, Hieu Quang, Hoang Manh Cuong

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引用次数: 0

摘要

在我们之前的工作中，我们介绍了一种混合指纹匹配器，它包括两个阶段:局部细节匹配阶段和巩固阶段。为了提高前一阶段的准确性，在本文中，我们建议通过一个额外的特征来表征每个细节，代表将其与指纹中的其他细节区分开来的能力。利用每个细节的可判别性计算两个细节之间的局部相似度，显著提高了局部匹配阶段的性能。因此，整个匹配算法的精度在EER和FMR1000上分别提高了0.33%和0.51%，使我们的匹配算法在FVC2002-DB2A排行榜上排名第二。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Improved Fingerprint Matching Algorithm Using Low Discriminative Region

In our previous work, we introduced a hybrid fingerprint matcher which consists of two stages: local minutiae matching stage and consolidation stage. To improve the accuracy of the former stage, in this paper we suggest characterizing each minutia by an additional feature representing the ability to distinguish it from other minutiae in the fingerprint. By utilizing the discriminability of each minutia in the calculation of the local similarity score between two minutiae, the performance of the local matching stage is improved significantly. Thereby, an increase in the accuracy of the whole matching algorithm of 0.33% in EER and 0.51% in FMR1000 over thepreviousworknow makesour matcherrank2nd in FVC2002-DB2A leaderboard.

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Proceedings of the 9th International Symposium on Information and Communication Technology

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