Texture information of the single mode hands image is not sufficient for recognition in non-contact condition. A single device under the multi-spectrum is put forward to rapidly capture the images of palm print and palm vein. The texture information is enhanced and the recognition performance is improved through enhancing the palm print mainlines of the vein image. Firstly, the interval of acquiring the palm print and palm vein images are limited to less than 0.1 s, and the tiny displacement of palm is ignored. And the ROI of the palm print image is determined, whose coordinates are used to determine the ROI of palm vein image. Then, the preprocessing of the two ROI regions are performed, and the palm print mainlines are rapidly determined via the palm print high-frequence information from multi-layer wavelet decomposition. Finally, wavelet coefficients of palm print and palm vein are fused according to the high frequency component of palm print mainline normalized, and the blended texture image with the enhanced palm print mainline in the vein texture image is acquired. The experiment results show that the information of palm print mainline texture is significantly enhanced in the fusion images in the condition of keeping the original state of the vein texture, and the recognition performance is improved.