Because of the limitation of single biometric recognition, a new multimodal biometric system based on hand vein, iris and fingerprint was proposed. Firstly, the hand vein image, iris image and fingerprint image were separately sent to image preprocessing module, feature extraction module and feature matching module, respectively. And the respective matching scores were obtained. The effects of score normalization on recognition performance were analyzed. Tanh normalization method was employed to perform the three scores normalization. Finally, the weighted sum principle was used to fulfill the scores fusion. Minimum distance classifier was adopted to personal identity decision. The experiments results show that Equal Error Rate (EER) of proposed recognition algorithm is 0.009%. When the False Acceptance Rate (FAR) is close to 0, the corresponding False Rejection Rate (FRR) at the same threshold is 0.2%.