In order to obtain high-quality palm vein image

a multi-spectral adaptive acquisition system method and device that can rapidly acquire high-quality palm vein images is designed. By studying on near-infrared light intensity matching area corresponding to high-quality vein images

combined with image quality assessment model and cuckoo search（ CS） algorithm search strategy

three mixed near-infrared intensity adaptive matching models at760 nm

850 nm and 940 nm are constructed. The model can quickly tune the intensity ratio of the hybrid light source to obtain high-quality palm vein images in complex scenes. The experimental results show that the CS algorithm model and system scheme can quickly and effectively adapt to the characteristics of palm veins in different populations

and provide a fast and effective light source matching scheme under the premise of ensuring image quality

which provides a good basis for the follow-up processing of online palm vein recognition.