Fingerprint, as one of the most popular and robust biometric traits, can be used in automatic identification and verification systems to identify individuals. Fingerprint matching is a vital and challenging issue in fingerprint recognition systems. Most fingerprint matching algorithms are minutiae-based. The minutiae points are the ways that the fingerprint ridges can be discontinuous. Ridge ending and ridge bifurcation are two frequently used minutiae in most fingerprint matching algorithms. This article presents a new minutiae-based fingerprint matching using the onion peeling approach. In the proposed method, fingerprints are aligned to find the matched minutiae points. Then, the nested convex polygons of matched minutiae points are constructed and the comparison between peer-to-peer polygons is performed by the turning function distance. Simplicity, accuracy, and low time complexity of the onion peeling approach are three important factors that make it a standard method for fingerprint matching purposes. The performance of the proposed algorithm is evaluated on the database FVC2002. Since the fingerprints that the difference between the number of their layers is more than 2 and the a minutiae matching score lower than 0.15 are ignored, better results are obtained.

Keywords

Fingerprint Matching, Minutiae, Convex Layers, Turning Function, Computational Geometry.

中文翻译：

---

使用洋葱皮方法和转向功能进行指纹匹配

指纹作为最流行和最强大的生物特征之一，可用于自动识别和验证系统以识别个人。指纹匹配是指纹识别系统中一个至关重要且具有挑战性的问题。大多数指纹匹配算法都是基于细节的。细节点是指纹脊可以不连续的方式。脊结束和脊分叉是大多数指纹匹配算法中经常使用的两个细节。本文介绍了一种使用洋葱去皮方法的新的基于细节的指纹匹配。在所提出的方法中，对齐指纹以找到匹配的细节点。然后，构造匹配细节点的嵌套凸多边形，并通过旋转函数距离进行对等多边形之间的比较。洋葱皮方法的简单性、准确性和低时间复杂度是使其成为指纹匹配目的标准方法的三个重要因素。所提出算法的性能在数据库上进行了评估FVC 2002。由于忽略了层数差大于2且a minutiae匹配得分低于0.15的指纹，得到了较好的结果。

关键字

指纹匹配、细节、凸层、转向函数、计算几何。