Aiming at the implementation of multi-modal biometric system in identification modal, the efficient identification algorithm based on hand vein, iris and fingerprint was developed. Firstly, feature extraction and feature matching of three unimodal biometric traits was carried out respectively and the independent matching scores of each trait was obtained. Then, k Nearest Neighbor (kNN) classifier was utilized to preliminary identification based on hand vein, and the number of user’s identity would be reduced to k. Finally, Support Vector Machine (SVM) classifier was developed to accuracy identification of user’s identity based on iris and fingerprint. The constructing three-modal biometric image database was used to experimental analysis. The results show that the system has good identification performance, which possesses wide application prospect.