Intelligent Biometric Group, School of Electrical & Electronic Engineering, USM Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Seberang Perai Selatan, Pulau Pinang, Malaysia.
Sensors (Basel). 2011;11(12):11357-71. doi: 10.3390/s111211357. Epub 2011 Nov 30.
In this paper, a personal verification method using finger vein is presented. Finger vein can be considered more secured compared to other hands based biometric traits such as fingerprint and palm print because the features are inside the human body. In the proposed method, a new texture descriptor called local line binary pattern (LLBP) is utilized as feature extraction technique. The neighbourhood shape in LLBP is a straight line, unlike in local binary pattern (LBP) which is a square shape. Experimental results show that the proposed method using LLBP has better performance than the previous methods using LBP and local derivative pattern (LDP).
本文提出了一种基于手指静脉的个人验证方法。与指纹和掌纹等其他基于手部的生物特征相比，手指静脉由于其特征位于人体内部，因此可以被认为更加安全。在提出的方法中，使用了一种称为局部线二值模式（LLBP）的新纹理描述符作为特征提取技术。与局部二值模式（LBP）的方形形状不同，LLBP 的邻域形状为直线。实验结果表明，与使用 LBP 和局部导数模式（LDP）的先前方法相比，使用 LLBP 的提出方法具有更好的性能。
