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.

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