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A finger-knuckle-print recognition algorithm using phase-based local block matching

机译:使用基于相位的局部块匹配的指关节指纹识别算法

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摘要

This paper proposes a Finger-Knuckle-Print (FKP) recognition algorithm using Band-Limited Phase-Only Correlation (BLPOC)-based local block matching. The phase information obtained from 2D Discrete Fourier Transform (DFT) of images contains important information of image representation. The phase-based image matching, especially BLPOC-based image matching, is successfully applied to image recognition tasks for biometric recognition applications. To calculate the matching score, the proposed algorithm corrects the global and local deformation between FKP images using phase-based correspondence matching and the BLPOC-based local block matching, respectively. Experimental evaluation using the PolyU FKP database demonstrates the efficient recognition performance of the proposed algorithm compared with the state-of-the-art conventional algorithms.
机译:本文提出了一种基于频带有限的仅相位相关(BLPOC)的局部块匹配指纹指印(FKP)识别算法。从图像的2D离散傅里叶变换(DFT)获得的相位信息包含图像表示的重要信息。基于阶段的图像匹配,尤其是基于BLPOC的图像匹配,已成功应用于生物识别应用的图像识别任务。为了计算匹配分数,所提出的算法分别使用基于相位的对应匹配和基于BLPOC的局部块匹配来校正FKP图像之间的整体和局部变形。与最新的传统算法相比,使用PolyU FKP数据库进行的实验评估证明了所提出算法的有效识别性能。

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