Human body finger vein identification method

Abstract

The invention discloses a human body finger vein identification method, which comprises the following steps that: reducing a target image into a set ratio, carrying out initial clustering on all pixels in the target image according to the gray values of the pixels; deleting a clustering value corresponding to a maximum center value and a minimum center value in the initial clustering, and carryingout secondary clustering on the gray values in residual clustering sets; deleting a category with the maximum center value in the secondary clustering, combining residual categories in each categoryinto a gray set, and updating the gray values in the gray set according to the maximum gray value and the minimum gray value in each category; extracting the pixel values which are greater than zero in characteristic pattern data, and independently forming a spatial point set by aiming at each characteristic pattern data; adopting an ICP algorithm to calculate the total rectification effect valueof the target image and the fingerprint image template; and when the minimum value in the total rectification effect value is smaller than a set threshold value, proving that a collector of a target image and a collector who corresponds to a fingerprint image template which generates a minimum rectification effect value are the same person.

Description

technical field [0001] The invention relates to fingerprint identification technology, in particular to a human finger vein identification method. Background technique [0002] In the fingerprint recognition process, because the acquisition of the finger vein image requires the photosensitive chip to work in a high ISO (high sensitivity) mode, the high sensitivity of the image will cause strong shot noise to be superimposed on the acquired image, resulting in Many digital image processing algorithms are difficult or impossible to work; at the same time, under the strict constraints of recognition time and accuracy, it is also difficult to use conventional large-scale calculation algorithms such as noise removal and image matching. [0003] Therefore, a finger vein recognition algorithm that is insensitive to shot noise and light and is suitable for computing platforms with low power consumption and low performance needs to be developed urgently. Contents of the invention ...

AI Technical Summary

Problems solved by technology

[0002] In the fingerprint recognition process, because the acquisition of the finger vein image requires the photosensitive chip to work in a high ISO (high sensitivity) mode, the high sensitivity of the image will cause strong shot noise to be superimposed on the acquired image, resulting in Many digital image processing algorithms are difficult or impossible to work; at the same time, under the strict constraints of recognition time and accuracy, it is also difficult to use conventional large-scale algorithms such as noise removal and image matching

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