改进的旋转不变性退化部分掌纹识别技术

Sanchit Singh, P. Correia, Luís Ducla Soares
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引用次数: 8

摘要

本文提出了先前发表的PP-RIDER(部分掌纹旋转不变性和退化识别)技术的进一步改进。PP-RIDER技术结合了修正相位相关(MPOC)和傅里叶-梅林变换(FMT),针对数据库中注册的全掌纹,提出了一种识别随机旋转和退化部分掌纹的方法。分析了内瓣大小对PP-RIDER中MPOC技术的影响。事实上,MPOC可能会在主相关峰周围产生伪峰,当使用过小的内瓣大小时,可能会对真实比较中的相似性得分产生负面影响。利用改进后的THUPALMLAB和PV-TEST-PARTIAL数据库对提出的改进版PP-RIDER进行了测试。实验结果表明,与基线技术相比,所提出的改进可以实现更高的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved rotation-invariant degraded partial palmprint recognition technique
This paper presents a further improvement of the previously published technique, PP-RIDER (Partial Palmprint Rotation-Invariant and DEgraded Recognition). PP-RIDER technique combines Modified Phase-Only Correlation (MPOC) and Fourier-Mellin Transform (FMT), and was proposed for recognizing randomly-rotated and degraded partial palmprints with respect to full palmprints registered in a database. In this paper, the influence of the inside-lobe size for the MPOC technique in PP-RIDER is analyzed. In fact, MPOC may produce spurious peaks around the main correlation peak which, when using too small inside-lobe sizes, can affect negatively the similarity scores in genuine comparisons. The proposed improved version of PP-RIDER is tested using the modified THUPALMLAB and PV-TEST-PARTIAL databases. The experimental results show that the proposed modifications allow achieving an improved performance when compared to the baseline technique.
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