Palm vein image binarization method, and palm vein identification method and apparatus

Abstract

A palm vein image binarization method includes: acquiring a grayscale range of a palm vein image, and dividing the palm vein image into four grayscale level regions according to the grayscale range; sequentially acquiring connected components in each grayscale level region, calculating a centroid of each connected component, and determining whether the connected components need to be fused and corrected according to the centroids of the connected components; and sequentially detecting the connected components in each grayscale level region, determining a connected component including a palm, and using a minimum grayscale value of the grayscale level region, where the connected component including the palm is located, as a binarization segmentation threshold of the palm vein image. The present disclosure can effectively solve the problem of an unsatisfactory binarization segmentation effect of palm vein images acquired in complex outdoor environments.

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