Image enhancement processing method and palm vein recognition method for palm vein images

Abstract

The present application relates to the field of biological information identification, in particular to an image enhancement processing method and device for palm vein images, and a palm vein recognition method and device. The method includes: processing the collected palm vein image into a binary black-and-white image; determining the first finger-joint point and the second finger-joint point in the palm according to the binarized black-and-white image; The second finger seam point is extended to obtain the third finger seam point and the fourth finger seam point, and the location information of the region of interest is obtained according to the third finger seam point and the fourth finger seam point; the palm vein image is obtained according to the location information of the region of interest Obtain the image of the region of interest; perform enhancement processing on the image of the region of interest, and obtain the image of the region of interest after the enhancement process. The embodiment of the present invention can enhance the palm vein image to highlight the palm vein information, so that it is easier to extract accurate palm vein features from the palm vein image later.

Description

technical field [0001] The present application relates to the field of biological information identification, in particular to an image enhancement processing method and device for palm vein images, and a palm vein recognition method and device. Background technique [0002] Palm vein recognition is a relatively new biometric recognition technology proposed in recent years. The palm vein, that is, the vein in the palm, cannot be replicated due to the pattern of veins, so palm vein recognition is more secure than the currently commonly used fingerprint recognition. [0003] Palm vein recognition system usually includes four parts: palm vein image acquisition, image preprocessing, palm vein feature extraction and palm vein feature matching. The palm vein recognition process can be, for example, real-time collection of the palm vein image of the authentication subject (the individual performing identity authentication) (including the fingers, wrist and background area of ​​the...

AI Technical Summary

Problems solved by technology

[0004] However, the collected palm vein images may not be clear and accurate, and there may be a large amount of redundant information in the images. The current filtering, image binarization and thinning methods used in image preprocessing cannot solve the above problems well. This increases the difficulty of the subsequent operation of extracting palm vein features from palm vein images, and may also lead to inaccurate palm vein features finally extracted, which in turn affects the matching recognition effect of palm vein features

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