Aiming at the problem of poor imaging quality due to the different thicknesses of the same palm, a method of getting the palm vein images was proposed based on multiillumination using nearinfrared region (NIR) light. The exponential relationship between illumination intensity and palm thickness was figured out according to the optical model of the human palm and dynamic range of the CCD. Firstly, three different intensities of NIR light with the same wave length of 850 nm were be used as illumination in the experiment to obtain the palm vein images respectively. Secondly, palm vein images were divided into several subimages which are with high contrast. Next, the adaptive equalization was employed to enhance palm vein images. Finally, the method of weighting gradient splicing was applied to obtain the integrated palm vein images. Experimental result shows that the fusion method can improve the contrast of each part of palm vein images effectively compared with the transmission method with single illumination intensity and the reflection method. This method can be used in several application fields, such as venipuncture, biometrics and is of great value in the areas of identification recognition and the information security in the future.