School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing 400030, China.
Sensors (Basel). 2013 Nov 5;13(11):15048-67. doi: 10.3390/s131115048.
This paper presents a new scheme to improve the performance of finger-vein identification systems. Firstly, a vein pattern extraction method to extract the finger-vein shape and orientation features is proposed. Secondly, to accommodate the potential local and global variations at the same time, a region-based matching scheme is investigated by employing the Scale Invariant Feature Transform (SIFT) matching method. Finally, the finger-vein shape, orientation and SIFT features are combined to further enhance the performance. The experimental results on databases of 426 and 170 fingers demonstrate the consistent superiority of the proposed approach.
本文提出了一种新的方案来提高指静脉识别系统的性能。首先，提出了一种静脉模式提取方法来提取指静脉的形状和方向特征。其次，为了同时适应潜在的局部和全局变化，通过采用尺度不变特征变换（SIFT）匹配方法研究了基于区域的匹配方案。最后，将指静脉的形状、方向和 SIFT 特征相结合，进一步提高了性能。在包含 426 个和 170 个手指的数据库上的实验结果表明了所提出方法的一致优越性。
