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首页> 外文会议>Proceedings of the 9th international conference for young computer scientists (ICYCS 2008) >A Fingerprint Matching Algorithm Based on B-Spline Curves
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A Fingerprint Matching Algorithm Based on B-Spline Curves

机译：基于B样条曲线的指纹匹配算法

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摘要

This paper adopts the thought of curve recognition, and a new fingerprint matching algorithm based on mathematics curve theory is presented. In this algorithm, stated data point vectors are extracted firstly at the reliable region of different ridges, then the corresponding control point vectors of B-Spline curves are worked out, the control points should contain all information of ridges. Control point vectors are stored as fingerprint template. Finally we analyze the vectors' Euler distance between observed fingerprint and template to realize matching. Experimental results prove that this algorithm based on curve theory has good antinoise ability and high recognition precision.
机译：本文采用曲线识别的思想，提出了一种新的基于数学曲线理论的指纹匹配算法。该算法首先在不同凸脊的可靠区域提取指定的数据点矢量，然后求出相应的B样条曲线控制点矢量，控制点应包含所有凸脊信息。控制点向量存储为指纹模板。最后，我们分析了观察到的指纹与模板之间向量的欧拉距离，以实现匹配。实验结果表明，该基于曲线理论的算法具有良好的抗噪能力和较高的识别精度。

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