As a new generation of high-precision biometric recognition technology, palm vein pattern recognition technology is widely used in the field of personal identification. Effective extraction of palm vein features is essential for palm vein classification. However, because of the poor quality of the palmar vein images collected, it is necessary to enhance the palm vein image before recognition. The two-dimensional discrete fast Fourier transform (2D-FFT) is used to replace the traditional spatial convolution filtering to realize the frequency domain convolution filtering of the Gabor filter and the original image. The experimental results show that the proposed enhancement method has better enhancement effect than the traditional adaptive histogram equalization and Retinex algorithm. Compared with the traditional Gabor spatial convolution filter, it has lower computational complexity and is more suitable for real time systems.