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Fast pore matching method based on core point alignment and orientation

机译：基于核心点对准和定向的快速孔匹配方法

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摘要

Nowadays, high-resolution fingerprint images are more and more used in the fingerprint recognition systems thanks to the recognition accuracy that they provide. Indeed, they offer more sufficient details such as sweat pores, ridges, contours, and other details. Pores have been adopted to be one of the brilliant nominees in improving the efficiency of automated fingerprint identification systems to maintain a high level of security. However, the geometric transformations, that occur during the acquisition phase, can cause several defects on the result of the matching process, hence they decline the accuracy of the recognition. To overcome this problem, alignment is often needed. This image pretreatment is classically based on complex geometric operations that are time-consuming. Otherwise, for pore matching, the majority of approaches are based only on pore coordinates. In this paper, we propose a novel pore matching method based, firstly, on only one of the singular points, namely the core points for the alignment phase, and also the valuable features used for the score calculation namely position and the orientation of pores. We assess our proposed approach using the PolyU-HRF database and we compare it to some well-known approaches of level 3 fingerprint recognition. The experimental results demonstrate that the proposed method can achieve significant performance recognition accuracy across various qualities of fingerprint images.
机译：如今，高分辨率指纹图像由于其提供的识别精度而越来越多地用于指纹识别系统中。实际上，它们提供了更多足够的细节，例如汗毛孔，山脊，轮廓和其他细节。在提高自动指纹识别系统的效率以保持高度安全性方面，毛孔已被采用为杰出的提名之一。但是，在采集阶段发生的几何变换可能在匹配过程的结果上引起一些缺陷，因此会降低识别的准确性。为了克服这个问题，经常需要对准。传统上，这种图像预处理基于费时的复杂几何运算。否则，对于孔匹配，大多数方法仅基于孔坐标。在本文中，我们提出了一种新颖的孔匹配方法，该方法首先仅基于奇异点之一，即对准阶段的核心点，以及基于分数的有价值的特征，即孔的位置和方向。我们使用PolyU-HRF数据库评估了我们提出的方法，并将其与3级指纹识别的一些著名方法进行了比较。实验结果表明，所提出的方法可以在各种质量的指纹图像上实现显着的性能识别精度。

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