ORB-based Fingerprint Matching Algorithm for Mobile Devices

Yue Li, Guangshun Shi
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引用次数: 1

Abstract

With the popularity and continuous development of smartphones and other mobile devices, the area of the fingerprint sensors is continuously reduced, resulting in a continuous reduction in the size of the fingerprint. In the process of fingerprint registration, the complete fingerprint image is merged by acquiring a set of small fingerprint images. In the comparison process, the partial fingerprint image is compared to the full image. The traditional fingerprint matching method is mostly based on the minutiae and singular points. Since partial fingerprint contains limited minutiae and most of them do not include any singular points, we proposed a local fingerprint matching algorithm based on ORB feature, which has a good effect on partial fingerprint matching. Also shows the experimental results on two public data sets (FVC2004 and sd04) and a private database.
基于orb的移动设备指纹匹配算法
随着智能手机等移动设备的普及和不断发展,指纹传感器的面积不断缩小,导致指纹尺寸不断缩小。在指纹配准过程中,通过获取一组小的指纹图像来合并完整的指纹图像。在比较过程中,将部分指纹图像与完整指纹图像进行比较。传统的指纹匹配方法主要是基于细节点和奇异点。针对部分指纹包含的细节有限,且大部分指纹不包含任何奇异点的特点,提出了一种基于ORB特征的局部指纹匹配算法,该算法对部分指纹匹配有很好的效果。并给出了在两个公共数据集(FVC2004和sd04)和一个私有数据库上的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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