Cross section binary coding for fusion of finger vein and finger dorsal texture

Abstract

In this paper, personal authentication by fusion of finger vein (FV) and finger dorsal texture (FDT) is presented. At first, a local enhancement method is proposed for FV and FDT images to enhance the vein vessel and finger dorsal texture line which can be called foreground lines (FLs). Then a novel cross section binary coding (CSBC) containing sixteen pattern-is presented to find the foreground positions and quantify their cross-section profiles. CSBC utilizes the characteristic that for each point, the result of comparing four surrounding points with it reflects its location in the cross-section profile. Finally, a weighted fusion strategy is put forward. The experimental results declare its excellent performance.