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Image enhancement and minutiae matching in fingerprint verification

机译:指纹验证中的图像增强和细节匹配

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摘要

Fingerprint image enhancement and minutiae matching are two key steps in an automatic fingerprint identification system. In this paper, we develop a fingerprint image enhancement algorithm based on orientation fields; According to the principles of Jain et al.'s matching algorithm, we also introduce ideas along the following three aspects: introduction of ridge information into the minutiae matching process in a simple but effective way, which solves the problem of reference point pair selection with low computational cost; use of a variable sized bounding box to make our algorithm more robust to non-linear deformation between fingerprint images; use of a simpler alignment method in our algorithm. Experiments using the Fingerprint Verification Competition 2000 (FVC2000) databases with the FVC2000 performance evaluation show that these ideas are effective.
机译:指纹图像增强和细节匹配是自动指纹识别系统中的两个关键步骤。本文提出了一种基于方向场的指纹图像增强算法。根据Jain等人的匹配算法的原理,我们还从以下三个方面进行了介绍:以简单而有效的方式将脊信息引入到细节匹配过程中,从而解决了参考点对选择问题。计算成本低;使用可变大小的边界框使我们的算法对指纹图像之间的非线性变形更加鲁棒;在我们的算法中使用更简单的对齐方法。使用2000年指纹验证竞赛(FVC2000)数据库和FVC2000性能评估进行的实验表明,这些想法是有效的。

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