Hand vein recognition is a newly arisen biometrics technology,which adopts the net structure of vein vessels to achieve personal individual identification. The hand vein image acquisition system is designed according to vein imaging theory,and consequently construct hand vein image database with high quality. To verify personal indetification,firstly the hand vein image is preprocessed by image filtering and grey normalization,and then the detail images derived from two-level wavelet packet decomposition are used to extract the texture information of hand vein. Finally,the k neighbor classifier and support vector machines are combined for individual recognition. The performance of the proposed method is tested using the hand vein image database constructed by our group under the identification mode. The result shows its correct recognition rate is up to 99.07%,which demonstrates that this system has good recognition performance and possesses wide application prospect.