Meandering energy potential to locate singular point of fingerprint

Kamlesh Tiwari, Phalguni Gupta
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引用次数: 5

Abstract

Singular point is the location of high curvature area of a fingerprint. It represents the global characteristic and is quite useful for fingerprint classification and matching. Despite being a very important feature, the localization of the singular point is still not perfect. This paper proposes a novel algorithm to locate prominent singular points from a fingerprint image by devising the concept of meandering energy potential (MEP). One of the advantages of the proposed algorithm is that it does not require any prior knowledge on the fingerprint structure. Experimental results have been obtained on a widely used publicly available fingerprint database FVC2002. The proposed algorithm has significantly high accuracy as compared to any other state-of-the-art methods in the literature.
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弯曲能量势定位指纹奇点
奇点是指纹高曲率区域的位置。它代表了指纹的全局特征,对指纹分类和匹配非常有用。尽管奇异点的定位是一个非常重要的特征,但它仍然不够完善。本文提出了一种利用蜿蜒能量势(MEP)的概念定位指纹图像中突出奇异点的新算法。该算法的优点之一是不需要对指纹结构有任何先验知识。在广泛使用的公开指纹数据库FVC2002上获得了实验结果。与文献中任何其他最先进的方法相比,所提出的算法具有显着的高准确性。
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