基于四边形的指纹匹配

Honglei Wei, Danni Liu, Changyou Guo
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引用次数: 3

摘要

提出了一种基于四边形的指纹匹配算法。首先从指纹中提取脊线,并进行三个阶段的指纹脊线匹配。在第一阶段,通过匹配局部四边形集(LQS)来建立不准确的匹配线对集;在第二阶段,通过评估对之间的相关性,从集合中删除假对。如果集合中有足够多的指纹对,则可以根据缩小的集合来判断两个指纹是否来自同一手指,否则通过增加在第一阶段匹配失败的可能匹配对来扩展集合,从而做出更可靠的决策。在FVC2002 (Fingerprint verification competition 2000)数据库上进行的实验表明,该算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fingerprints Matching Based on Quadrangle
A novel fingerprint matching algorithm based on quadrangles has been developed. To begin with, we extracted ridge lines from fingerprints, and three phases were performed to match the ridge lines between two fingerprints. In the first phase, an inaccurate set of matched line pairs were built by matching the local quadrangle set (LQS). In the second phase, the fake pairs were removed from the set by evaluating the correlation among the pairs. A decision for the two fingerprints coming from the same finger or not could be made based on the shrunken set in case there were enough pairs in the set, otherwise the set was extended by adding the possible matched pairs that failed matching in the first phase so that a more reliable decision could be made. Experiments using the FVC2002 (Fingerprint verification competition 2000) databases show that the proposed algorithm is effective.
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