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.