The invention discloses a finger vein identification method based on fusion of multiple characteristic thresholds. A 2D Gaussian template based on multiple standard deviations is used to calculate a curvature of a finger vein image, a background-area curvature grayscale characteristic, a vein-area curvature grayscale characteristic and a curvature fine line characteristic of the image are extracted; a correlation coefficient method is used to calculate a matching threshold of the background-area curvature grayscale characteristic and the vein-area curvature grayscale characteristic, an MHD algorithm is used to calculate a matching threshold of the curvature fine line characteristic, and a multi-characteristic-threshold fusion decision algorithm is provided to fuse independent identification thresholds of the three characteristics and further to carry out verification and decision. According to the algorithm based on fusion of the thresholds of the three characteristics, background areaavailable information included by the background-area curvature grayscale characteristic is combined, the fuzzy finger vein image identification performance is not decreased obviously, the false rejection rate under a low false accept rate is substantially lower than that of a traditional identification algorithm based on the fine line characteristic only, and the identification algorithm can beutilized reasonably and highly efficiently.