A Finger Vein Identification System Based on Image Quality Assessment

Abstract

Generally, the quality of the acquired finger vein images makes a significant impact on the performance of finger vein identification system. Therefore, aimed at the characteristics of the vein images, we propose a novel finger vein identification system taking the image quality assessment into account. The embedded image quality assessment method is able to improve the performance of finger vein identification system by filtering the low quality images. In order to make better representation of the finger vein images, a score-level fusion strategy is proposed for the combination of the texture information and the structural information, wherein the texture information and the structural information are obtained from the Local Binary Pattern (LBP) and the histogram of oriented gradients (HOG), respectively. The comprehensive experiments on two finger vein image datasets have demonstrated that our proposed image quality assessment method and the score-level fusion method can achieve outperformed performance for the finger vein identification system.