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An application of the onion peeling algorithm for fingerprint verification purposes

机译:洋葱去皮算法在指纹验证中的应用

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摘要

In this paper, we apply digital image processing techniques using the onion algorithm of computational geometry to develop fingerprint verification. This paper describes the design and implementation of a fingerprint verification system, which operates in two stages: (ⅰ) pre-processing stage (ⅱ) feature extraction using a Computational Geometry Algorithm (CCA). This method may be characterized as an alternative method to well-known minutiae extraction algorithms. In particular, the proposed method is based on specific features, which depend exclusively on the pixels brightness degree of the fingerprint image. These were extracted from a specific geometric area (convex layer) in which the dominant brightness value of the fingerprint ranges. The proposed algorithm is also compared to a well-known commercial verification system which is based on a minutiae extraction algorithm proposed by Jain et al. In the experimental part 2256 verification on tests for each of the two methods took place. The results of this comparison showed that the proposed method yields correct positive and correct negative verification scores greater than 99%. In particular, the proposed CGA method produced extremely reliable results even in cases where the tested fingerprints were complete specimens yet the position or pressure applied was not consistent. The computational complexity of the proposed algorithm may also he characterized as extreme competitive.
机译:在本文中,我们使用计算几何的洋葱算法应用数字图像处理技术来开发指纹验证。本文介绍了指纹验证系统的设计和实现,该系统分两个阶段运行:(ⅰ)预处理阶段(ⅱ)使用计算几何算法(CCA)进行特征提取。该方法可以被描述为众所周知的细节提取算法的替代方法。特别地,所提出的方法基于特定特征,该特定特征仅取决于指纹图像的像素亮度度。这些是从特定的几何区域(凸层)中提取的,在该区域中指纹的主要亮度值处于范围内。还将提出的算法与基于Jain等人提出的细节提取算法的著名商业验证系统进行比较。在实验部分2256中,对这两种方法中的每一种进行了测试验证。比较结果表明,所提出的方法得出的正确肯定和正确否定验证分数均大于99%。尤其是,即使在所测试的指纹是完整的样本而施加的位置或压力不一致的情况下,所提出的CGA方法也能产生极为可靠的结果。所提出算法的计算复杂性也可以被描述为极度竞争。

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