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The utilization of a Taylor series-based transformation in fingerprint verification

机译:基于泰勒级数的变换在指纹验证中的利用

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Dealing with non-linear distortion in fingerprint images is a major difficulty for automated fingerprint verification systems. While this distortion can be a nuisance in minutiae matching systems, it is a major concern when matching smaller structures, such as points along ridges and pore locations. In this paper we show that a simple transformation derived from a Taylor series expansion can be used in conjunction with a set of corresponding minutia points to improve the correspondence of finer fingerprint details within a fingerprint image. This is demonstrated by applying the transformation to a database of fingerprint images and examining the ridge and pore match scores with and without the transformation. The results of our study show that this transform does provide a noticeable increase in matching accuracy.
机译:处理指纹图像中的非线性失真是自动指纹验证系统的主要困难。尽管这种失真在细节匹配系统中可能会很麻烦,但在匹配较小的结构(例如沿山脊和孔位置的点)时,却是一个主要问题。在本文中,我们表明,可以将泰勒级数展开得到的简单变换与一组相应的细节点结合使用,以改善指纹图像中更精细的指纹细节的对应性。通过将转换应用于指纹图像数据库并检查有无转换的脊和孔匹配分数,可以证明这一点。我们的研究结果表明,这种变换确实提供了匹配精度的显着提高。

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