Finger Vein Recognition Algorithm Using Phase Only Correlation

Nurhafizah Mahri, Shahrel Azmin Sundi Suandi, B. A. Rosdi
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引用次数: 56

Abstract

In this paper, we propose an algorithm for finger vein recognition with less complexity in the image preprocessing phase, where finger vein pattern extraction is not included at all. In the proposed algorithm, we implement phase-only correlation (POC) function at the matching stage with a very simple preprocessing technique. Experimental evaluation of the proposed algorithm using a set of finger vein images captured from a low cost device have resulting an efficient recognition performance where the equal error rate (EER) was 0.9803% with a total processing time of 0.6362s.
基于相位相关的手指静脉识别算法
在本文中,我们提出了一种在图像预处理阶段复杂度较低的手指静脉识别算法,该算法完全不包括手指静脉模式的提取。在该算法中,我们用一种非常简单的预处理技术在匹配阶段实现了纯相位相关(POC)函数。用一组低成本设备采集的手指静脉图像对该算法进行了实验评估,结果表明,该算法具有较好的识别性能,平均错误率(EER)为0.9803%,总处理时间为0.6362秒。
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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